1257 Togaf Jobs - Page 14

About The Role Project Role : Business Architect Project Role Description : Define opportunities to create tangible business value for the client by leading current state assessments and identifying high level customer requirements, defining the business solutions and structures needed to realize these opportunities, and developing business case to achieve the vision. Must have skills : Business Analysis Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Architect, you will define opportunities to create tangible business value for the client by leading current state assessments and identifying high level customer requirements, defining the business solutions and structures needed to realize these opportunities, and developing business case to achieve the vision. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Expected to provide solutions to problems that apply across multiple teams- Lead the development of business architecture and process models- Analyze business requirements and translate them into technical requirements- Provide strategic guidance and recommendations to stakeholders Professional & Technical Skills: - Must To Have Skills: Proficiency in Business Analysis- Strong analytical and problem-solving skills- Excellent communication and interpersonal abilities- Ability to work effectively in a team environment- Experience in business process modeling Additional Information:- The candidate should have a minimum of 12 years of experience in Business Analysis- This position is based at our Hyderabad office- A 15 years full time education is required Qualification 15 years full time education

About The Role Project Role : Business Architect Project Role Description : Define opportunities to create tangible business value for the client by leading current state assessments and identifying high level customer requirements, defining the business solutions and structures needed to realize these opportunities, and developing business case to achieve the vision. Must have skills : GuideWire PolicyCenter Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Architect, you will define opportunities to create tangible business value for the client by leading current state assessments and identifying high-level customer requirements. Your typical day will involve collaborating with various stakeholders to understand their needs, analyzing existing processes, and designing innovative solutions that align with the client's strategic goals. You will also be responsible for developing comprehensive business cases that outline the necessary steps to achieve the envisioned outcomes, ensuring that all proposed solutions are practical and beneficial for the organization. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Analyze and document business processes to identify areas for improvement and optimization. Professional & Technical Skills: - Must To Have Skills: Proficiency in GuideWire PolicyCenter.- Strong analytical skills to assess business needs and translate them into actionable solutions.- Experience in developing business cases and project proposals.- Ability to communicate effectively with both technical and non-technical stakeholders.- Familiarity with business process modeling techniques and tools. Additional Information:- The candidate should have minimum 3 years of experience in GuideWire PolicyCenter.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Business Architect Project Role Description : Define opportunities to create tangible business value for the client by leading current state assessments and identifying high level customer requirements, defining the business solutions and structures needed to realize these opportunities, and developing business case to achieve the vision. Must have skills : Microsoft Dynamics 365 Commerce Technical Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Architect, you will define opportunities to create tangible business value for the client by leading current state assessments and identifying high-level customer requirements. You will be responsible for defining the business solutions and structures needed to realize these opportunities and developing a business case to achieve the vision. Your typical day will involve conducting current state assessments, collaborating with stakeholders to gather requirements, and developing strategic business solutions. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Conduct current state assessments to identify business opportunities- Gather high-level customer requirements- Develop strategic business solutions Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Dynamics 365 Commerce Technical- Good To Have Skills: Experience with Microsoft Azure- Strong understanding of business architecture principles- Experience in developing business cases- Knowledge of industry best practices in business architecture Additional Information:- The candidate should have a minimum of 7.5 years of experience in Microsoft Dynamics 365 Commerce Technical- This position is based at our Chennai office- A 15 years full-time education is required Qualification 15 years full time education

About The Role Project Role : Business Architect Project Role Description : Define opportunities to create tangible business value for the client by leading current state assessments and identifying high level customer requirements, defining the business solutions and structures needed to realize these opportunities, and developing business case to achieve the vision. Must have skills : Microsoft Azure PaaS Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Architect, you will define opportunities to create tangible business value for the client by leading current state assessments and identifying high-level customer requirements. You will be responsible for defining the business solutions and structures needed to realize these opportunities and developing a business case to achieve the vision. Your role will involve collaborating with multiple teams and engaging in key decision-making processes to provide solutions for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead current state assessments and identify high-level customer requirements- Define business solutions and structures to realize opportunities- Develop a business case to achieve the vision Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure PaaS- Good To Have Skills: Experience with cloud-based solutions- Strong understanding of business architecture principles- Experience in conducting current state assessments and identifying customer requirements- Ability to develop business solutions and structures- Knowledge of developing business cases- Experience with cloud-based solutions- Solid grasp of data analysis and visualization tools Additional Information:- The candidate should have a minimum of 5 years of experience in Microsoft Azure PaaS- This position is based at our Hyderabad office- A 15 years full-time education is required Qualification 15 years full time education

About The Role Project Role : Business Architect Project Role Description : Define opportunities to create tangible business value for the client by leading current state assessments and identifying high level customer requirements, defining the business solutions and structures needed to realize these opportunities, and developing business case to achieve the vision. Must have skills : Workday US Payroll Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Architect, you will define opportunities to create tangible business value for the client by leading current state assessments, identifying high-level customer requirements, and developing business solutions and structures to achieve the vision. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the current state assessments and identify high-level customer requirements.- Define the business solutions and structures needed to realize opportunities.- Develop a business case to achieve the vision. Professional & Technical Skills: - Must To Have Skills: Proficiency in Workday US Payroll.- Strong understanding of business architecture principles.- Experience in defining business solutions and structures.- Ability to develop business cases and strategies.- Knowledge of current state assessments and customer requirements. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Workday US Payroll.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Location: Remote Duration: 1 Year (Renewable) Start: ASAP Job Purpose: We are seeking an experienced Application Security Architect to design, implement, and maintain secure cloud and enterprise platforms. The role involves ensuring the confidentiality, integrity, and availability of data across environments, and active participation in the SDLC to define and enforce security requirements. Key Responsibilities: Define and assess security requirements across cloud platforms (SaaS/IaaS). Support secure design and integration of applications and APIs. Participate in SDLC reviews and threat modeling. Develop and implement security standards, baselines, and best practices. Collaborate with DevOps, Engineering, and Infra teams for secure deployments. Provide guidance on cloud security posture, compliance, and remediation. Experience & Skills: 7 8 years in Information Security, with expertise in architecture, assessment, and implementation. 5 8 years in: Application security design, assessment, and engineering. Securing public/private cloud (AWS/Azure/DevOps). Secure SDLC, threat modeling, risk assessments. Strong knowledge in: IAM, SSO, API gateways, OAuth, SAML. SIEM, WAF, firewalls, VPNs, endpoint protection. Security standards like NIST, OWASP, ISO 27001. Preferred Skills: Hands-on with CASBs, cloud governance tools. Familiarity with mobile app security. Strong communication, documentation, and collaboration skills. Qualifications: Engineering degree in IT or Computer Science. Certifications (any of the following): CEH, OCSP, OWASP, AWS/Azure/GCP, TOGAF, SABSA, CISSP-ISSAP, CCSP.

Role: Network Architect Experience: 15 - 20 years Job Locations: Manikonda, Hyderabad / Yelahanka, Bengaluru Employment Type: Full-Time Shift Timings: 4 PM - 2 AM IST Mode of Work: WFO NETWORK ARCHITECT Job Role Overview: The Network Architect is responsible for the design, implementation, and optimization of enterprise network infrastructure, requiring deep technical expertise in modern networking technologies and a strong ability to translate complex business and operational requirements into secure, scalable, and high-performance network solutions. This role is responsible for designing, implementing, and maintaining the organisation s IT infrastructure, ensuring optimal performance, scalability, security, and reliability. This role will collaborate closely with cross-functional teams, including Infrastructure, Security, Cloud, and Application teams, ensuring seamless integration across on-premises, hybrid, and cloud environments and enforcing standards for resilience, availability, and security. Key Responsibilities: Architecture Design and Planning: Design comprehensive network infrastructure solutions aligning with business requirements and technology roadmaps. Develop reference architectures, standards, and governance frameworks, create detailed documentation, including network diagrams, system specifications, and infrastructure maps. Lead network infrastructure capacity planning and performance optimisation initiatives. Technical Leadership : Evaluate and recommend network-related technologies, platforms, and services to meet organizational needs. Provide expert guidance on complex network infrastructure problems and projects. Define best practices for managing and maintaining the organizations network. Mentor technical teams on network infrastructure design and implementation, Cloud, and Hybrid. Design and implement enterprise cloud connectivity strategies and architecture solutions. Optimize cloud network performance, utilisation, and cost management. Ensure seamless integration between on-premises and cloud environments. Develop infrastructure-as-code approaches and automation frameworks. Security and Compliance: Incorporate security-by-design principles into all network infrastructure solutions. Design network segmentation, identity management, and access control frameworks. Ensure compliance with regulatory requirements and security standards. Develop disaster recovery and business continuity solutions. Required Education & Experience: Bachelors degree in computer science, IT, Cyber Security, or a related discipline is desired, or equivalent work experience and technical training. Over 15 years of experience in enterprise networking, including a minimum of 5 years in network architecture and technical leadership roles. Proven track record of managing enterprise network environments in production, cloud, and hybrid environments. Certifications: Cisco Certified Network Professional (CCNP Enterprise) Cisco Certified Design Professional (CCDP) / Cisco Certified Specialist - Enterprise Design AWS Certified Advanced Networking Specialty Azure Network Engineer Associate Palo Alto Networks Certified Network Security Engineer (PCNSE) Cisco Certified Internetwork Expert (CCIE) Infrastructure framework (TOGAF, ITIL) Skills, Abilities, and Knowledge: Core Routing and Switching (Cisco Catalyst/Nexus, Meraki, Dell, Arista). BGP, OSPF, EIGRP, VXLAN, MPLS, IPSEC, GRE. Firewall Architecture (Palo Alto, Checkpoint, Cisco ASA/Firepower). Load Balancers (F5 BIG-IP LTM/GTM, Citrix ADC). VPN technologies (site-to-site, client-based, SSL VPNs). SD-WAN Technologies (VeloCloud, Meraki SD-WAN, Cisco SD-WAN) Network Access Control (Aruba ClearPass, Cisco ISE). Wi-Fi Solutions (Aruba, Cisco Wireless, Mist Systems) Network Monitoring and Management Tools (SolarWinds, ThousandEyes, PRTG). Cloud Networking (Azure Virtual WAN, AWS VPC Peering/Transit Gateway) Scripting basics (Python, Ansible) for network automation. Conduct regular audits and implement necessary remediation measures. Document solutions and best practices for knowledge-sharing purposes Excellent communication and presentation skills. Ability to translate complex technical concepts to non-technical stakeholder s Strong analytical and problem-solving abilities. Strategic thinking and business acumen. Collaborative approach to working with cross-functional teams

JOB DESCRIPTION Roles & responsibilities Here are some of the key responsibilities of AI Research Scientist: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs RESPONSIBILITIES Roles & responsibilities Here are some of the key responsibilities of AI architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs #KGS QUALIFICATIONS This role is for you if you have the below Educational Qualifications Bachelor’s/Master’s degree in Computer Science Certifications in Cloud technologies (AWS, Azure, GCP) and TOGAF certification (good to have) Work experience: 11 to 14 Years of Experience #KGS

JOB DESCRIPTION Roles & responsibilities Here are some of the key responsibilities of AI architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs RESPONSIBILITIES Roles & responsibilities Here are some of the key responsibilities of AI architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs #KGS QUALIFICATIONS This role is for you if you have the below Educational Qualifications Bachelor’s/Master’s degree in Computer Science Certifications in Cloud technologies (AWS, Azure, GCP) and TOGAF certification (good to have) Work experience: 11 to 14 Years of Experience #KGS

JOB DESCRIPTION Roles & responsibilities Here are some of the key responsibilities of AI Product Manager: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs RESPONSIBILITIES Roles & responsibilities Here are some of the key responsibilities of AI Product Manager: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs #KGS QUALIFICATIONS This role is for you if you have the below Educational Qualifications Bachelor’s/Master’s degree in Computer Science Certifications in Cloud technologies (AWS, Azure, GCP) and TOGAF certification (good to have) Work experience: 11 to 14 Years of Experience #KGS

JOB DESCRIPTION Roles & responsibilities Here are some of the key responsibilities of AI architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs RESPONSIBILITIES Roles & responsibilities Here are some of the key responsibilities of AI architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs #KGS QUALIFICATIONS This role is for you if you have the below Educational Qualifications Bachelor’s/Master’s degree in Computer Science Certifications in Cloud technologies (AWS, Azure, GCP) and TOGAF certification (good to have) Work experience: 11 to 14 Years of Experience #KGS

JOB DESCRIPTION Roles & responsibilities Here are some of the key responsibilities of AI Azure Architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs RESPONSIBILITIES Roles & responsibilities Here are some of the key responsibilities of AI Azure Architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs #KGS QUALIFICATIONS This role is for you if you have the below Educational Qualifications Bachelor’s/Master’s degree in Computer Science Certifications in Cloud technologies (AWS, Azure, GCP) and TOGAF certification (good to have) Work experience: 11 to 14 Years of Experience #KGS

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Delivery Executive, Global Managed Services At EY GDS – a member of the global integrated service delivery center network by EY, Managed Services (MS) is a significant part of our business, comprising more than $7b in revenue with major clients across the globe. We help clients with people based, asset based & integrated solutions, leveraging our deep sector and domain expertise to deliver enhanced value to our clients. At EY, Managed Services (MS) is a significant part of our business, comprising more than $7b in revenue with major clients across the globe. We help clients with people based, asset based & integrated solutions, leveraging our deep sector and domain expertise to deliver enhanced value to our clients. In MS we are also ambitious, seeking to more than double our success in the future. The opportunity The Global MS Delivery Executive oversees all of the engagements of a specific offering (understood as the end-to-end delivery, including technology, process and people) and works with the various engagement leaders to improve performance and deliver results and outcomes which are in line with the respective cost baselines “as sold” and EY´s related MS contractual obligations. In terms of proposition development this role will focus on delivering services across the following topics Offering delivery normative models and Global Standard Operating Models (GSOM) Competence development and ramp up for the specific offering Regulatory advisory work when applicable to the offering and on specific engagements Risk assessments when applicable to the offering and on specific engagements Transformation/change management across offerings and engagements Technology/analytics enablement across offerings and engagements On boarding/Transition and Data Operations of related engagements Quality Assurance & Remediation Training Your Key Responsibilities This position owns the end-to-end delivery of the defined Managed Services offering to enable growth plan/s. Brand and eminence – extend our reputation in the marketplace Grow related capabilities through people development, new hires, and service line alignment and develop the appropriate third-party relationships with the various stakeholders in the supply chain of the specific offering End to end delivery, including technology for the offering globally Connecting all the SDCs (Service Delivery Centers). Site leaders for specific offering will be coordinated by this role and Account Delivery Leaders will have a dotted line into it as well Looking across the offerings and delivery centres to ensure accuracy of delivery for all engagements/solutions Accountable for the aggregated cost of delivery as it pertains to the respective offering. Deal support – role will support when clients want to review delivery and carry out due diligence. This role will need to manage due diligence visits and sign off on the cost baseline of the deals to make sure the scope is in fact “deliverable” and the supply chain is optimized Deal support – they will be the face of delivery for the related offering. Accountable for: delivery transformation, continuous improvement and transformation of the delivery network; all the SLAs for the specific offering. Input into the SLAs and build of offering Delivery Leaders in GDS and the SDCs Skills And Attributes For Success Take on leadership role in driving the development of the Global/Managed Services delivery business contributing to growing headcount and revenues as applicable Confidence and experience to lead a “first of a kind deal” arrangement and establish new delivery capabilities where needed Develop ecosystem of supplier and product vendor relationships and how to take to market a price attractive offering blending in markets and near/off shore resources. Enhance our existing recruitment, on-boarding, and development plan to both target hire experience to support the growth of the practice, and establish a training curriculum to develop the necessary skills to deliver to this market demand. Dedicated people accountable to this role, following global standards, right processes etc. Strength to withstand significant personal pressure and overtime on a regular basis to address role To qualify for the role, you must have MBA and or Master's Degree Prior experience in Managed Services delivery of global operations (15+ years) Experience in Service Management, Tech Ops and Data Ops functions and UAT capabilities and outsourcing Skilled in reengineering initiatives and data intelligence capability Lead Global Transformation programmes Experience in build/transform MS operations rather than operate BAU Domain expertise in the related field of play for the offering the candidate will drive in very large managed services/product companies with significant experience in interacting with senior client personnel including C-level Experience of working in an Agile Scrum environment Be proficient in assessing options (e.g. risk, performance and cost-benefit) and informing decision-makers with persuasive visualizations based upon assessment outputs Can coordinate / collaborate with teams & stakeholders in multiple geographies Manage Matrix teams with participants in multiple geographies This role requires flexibility in working with various Client and EY stakeholders across the world and in different time zones Travel required Ideally, you’ll also have Experience in integrated managed services solutions primarily around Risk: Transform the risk and controls functions and outcomes of the business, including enterprise risk, enterprise resilience, compliance, internal audit, and controls and protect value across stakeholders in the long term Finance: transform their finance functions and drive value creation by making finance more agile (responsive, insightful and efficient) to support better scalability, decision-making and enterprise-wide performance Integrated Workforce Mobility: Tax, Immigration, Compensation, Assignment & Social Security IT outsourcing models, Cloud/Saas/Paas solutions and the role of IT in digital change You may have certification in TOGAF, PMP & ITIL Proficiency in Design Thinking and Agile Methodology You will have core understanding of the big four and their got-to-market propositions What We Look For Ability to extend our reputation in the marketplace Passion for problem-solving and helping our clients with some of their most complex issues What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Location: Noida, Uttar Pradesh, India Job ID: R0098886 Date Posted: 2025-07-07 Company Name: HITACHI INDIA PVT. LTD Profession (Job Category): Other Job Schedule: Full time Remote: No Job Description: Job Title: Solution Architect Designation : Senior Company: Hitachi Rail GTS India Location: Noida, UP, India Salary: As per Industry Company Overview: Hitachi Rail is right at the forefront of the global mobility sector following the acquisition. The closing strengthens the company's strategic focus on helping current and potential Hitachi Rail and GTS customers through the sustainable mobility transition – the shift of people from private to sustainable public transport, driven by digitalization. Position Overview: We are looking for a Solution Architect that will be responsible for translating business requirements into technical solutions, ensuring the architecture is scalable, secure, and aligned with enterprise standards. Solution Architect will play a crucial role in defining the architecture and technical direction of the existing system. you will be responsible for the design, implementation, and deployment of solutions that integrate with transit infrastructure, ensuring seamless fare collection, real-time transaction processing, and enhanced user experiences. You will collaborate with development teams, stakeholders, and external partners to create scalable, secure, and highly available software solutions. Job Roles & Responsibilities: Architectural Design : Develop architectural documentation such as solution blueprints, high-level designs, and integration diagrams. Lead the design of the system's architecture, ensuring scalability, security, and high availability. Ensure the architecture aligns with the company's strategic goals and future vision for public transit technologies. Technology Strategy : Select the appropriate technology stack and tools to meet both functional and non-functional requirements, considering performance, cost, and long-term sustainability. System Integration : Work closely with teams to design and implement the integration of the AFC system with various third-party systems (e.g., payment gateways, backend services, cloud infrastructure). API Design & Management : Define standards for APIs to ensure easy integration with external systems, such as mobile applications, ticketing systems, and payment providers. Security & Compliance : Ensure that the AFC system meets the highest standards of data security, particularly for payment information, and complies with industry regulations (e.g., PCI-DSS, GDPR). Stakeholder Collaboration : Act as the technical lead during project planning and discussions, ensuring the design meets customer and business needs. Technical Leadership : Mentor and guide development teams through best practices in software development and architectural principles. Performance Optimization : Monitor and optimize system performance to ensure the AFC system can handle high volumes of transactions without compromise. Documentation & Quality Assurance : Maintain detailed architecture documentation, including design patterns, data flow, and integration points. Ensure the implementation follows best practices and quality standards. Research & Innovation : Stay up to date with the latest advancements in technology and propose innovative solutions to enhance the AFC system. Skills (Mandatory): DotNet (C#), C/C++, Java, ASP.NET Core (C#), Angular, OAuth2 / OpenID Connect (Authentication & Authorization) JWT (JSON Web Tokens) Spring Cloud, Docker, Kubernetes, Relational Databases (MSSQL) Data Warehousing SOAP/RESTful API Design, Redis (Caching & Pub/Sub) Preferred Skills (Good to have): Python, Android SSL/TLS Encryption OWASP Top 10 (Security Best Practices) Vault (Secret Management) Keycloak (Identity & Access Management) Swagger (API Documentation) NoSQL Databases, GraphQL, gRPC, OpenAPI, Istio, Apache Kafka, RabbitMQ, Consul, DevOps & CI/CD Tools Tools & Technologies: UML (Unified Modeling Language) Lucidchart / Draw.io (Diagramming) PlantUML (Text-based UML generation) C4 Model (Software architecture model), Enterprise Architect (Modeling), Apache Hadoop / Spark (Big Data), Elasticsearch (Search Engine), Apache Kafka (Stream Processing), TensorFlow / PyTorch (Machine Learning/AI) Education: Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field. Experience Required: 12+ years of experience in solution architecture or software design. Proven experience with enterprise architecture frameworks (e.g., TOGAF, Zachman). Strong understanding of cloud platforms (AWS, Azure, or Google Cloud). Experience in system integration, API design, microservices, and SOA. Familiarity with data modeling and database technologies (SQL, NoSQL). Strong communication and stakeholder management skills. Preferred: Certification in cloud architecture (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert). Experience with DevOps tools and CI/CD pipelines. Knowledge of security frameworks and compliance standards (e.g., ISO 27001, GDPR). Experience in Agile/Scrum environments. Domain knowledge in [insert industry: e.g., finance, transportation, healthcare]. Soft Skills: Analytical and strategic thinking. Excellent problem-solving abilities. Ability to lead and mentor cross-functional teams. Strong verbal and written communication.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Delivery Executive, Global Managed Services At EY GDS – a member of the global integrated service delivery center network by EY, Managed Services (MS) is a significant part of our business, comprising more than $7b in revenue with major clients across the globe. We help clients with people based, asset based & integrated solutions, leveraging our deep sector and domain expertise to deliver enhanced value to our clients. At EY, Managed Services (MS) is a significant part of our business, comprising more than $7b in revenue with major clients across the globe. We help clients with people based, asset based & integrated solutions, leveraging our deep sector and domain expertise to deliver enhanced value to our clients. In MS we are also ambitious, seeking to more than double our success in the future. The opportunity The Global MS Delivery Executive oversees all of the engagements of a specific offering (understood as the end-to-end delivery, including technology, process and people) and works with the various engagement leaders to improve performance and deliver results and outcomes which are in line with the respective cost baselines “as sold” and EY´s related MS contractual obligations. In terms of proposition development this role will focus on delivering services across the following topics Offering delivery normative models and Global Standard Operating Models (GSOM) Competence development and ramp up for the specific offering Regulatory advisory work when applicable to the offering and on specific engagements Risk assessments when applicable to the offering and on specific engagements Transformation/change management across offerings and engagements Technology/analytics enablement across offerings and engagements On boarding/Transition and Data Operations of related engagements Quality Assurance & Remediation Training Your Key Responsibilities This position owns the end-to-end delivery of the defined Managed Services offering to enable growth plan/s. Brand and eminence – extend our reputation in the marketplace Grow related capabilities through people development, new hires, and service line alignment and develop the appropriate third-party relationships with the various stakeholders in the supply chain of the specific offering End to end delivery, including technology for the offering globally Connecting all the SDCs (Service Delivery Centers). Site leaders for specific offering will be coordinated by this role and Account Delivery Leaders will have a dotted line into it as well Looking across the offerings and delivery centres to ensure accuracy of delivery for all engagements/solutions Accountable for the aggregated cost of delivery as it pertains to the respective offering. Deal support – role will support when clients want to review delivery and carry out due diligence. This role will need to manage due diligence visits and sign off on the cost baseline of the deals to make sure the scope is in fact “deliverable” and the supply chain is optimized Deal support – they will be the face of delivery for the related offering. Accountable for: delivery transformation, continuous improvement and transformation of the delivery network; all the SLAs for the specific offering. Input into the SLAs and build of offering Delivery Leaders in GDS and the SDCs Skills And Attributes For Success Take on leadership role in driving the development of the Global/Managed Services delivery business contributing to growing headcount and revenues as applicable Confidence and experience to lead a “first of a kind deal” arrangement and establish new delivery capabilities where needed Develop ecosystem of supplier and product vendor relationships and how to take to market a price attractive offering blending in markets and near/off shore resources. Enhance our existing recruitment, on-boarding, and development plan to both target hire experience to support the growth of the practice, and establish a training curriculum to develop the necessary skills to deliver to this market demand. Dedicated people accountable to this role, following global standards, right processes etc. Strength to withstand significant personal pressure and overtime on a regular basis to address role To qualify for the role, you must have MBA and or Master's Degree Prior experience in Managed Services delivery of global operations (15+ years) Experience in Service Management, Tech Ops and Data Ops functions and UAT capabilities and outsourcing Skilled in reengineering initiatives and data intelligence capability Lead Global Transformation programmes Experience in build/transform MS operations rather than operate BAU Domain expertise in the related field of play for the offering the candidate will drive in very large managed services/product companies with significant experience in interacting with senior client personnel including C-level Experience of working in an Agile Scrum environment Be proficient in assessing options (e.g. risk, performance and cost-benefit) and informing decision-makers with persuasive visualizations based upon assessment outputs Can coordinate / collaborate with teams & stakeholders in multiple geographies Manage Matrix teams with participants in multiple geographies This role requires flexibility in working with various Client and EY stakeholders across the world and in different time zones Travel required Ideally, you’ll also have Experience in integrated managed services solutions primarily around Risk: Transform the risk and controls functions and outcomes of the business, including enterprise risk, enterprise resilience, compliance, internal audit, and controls and protect value across stakeholders in the long term Finance: transform their finance functions and drive value creation by making finance more agile (responsive, insightful and efficient) to support better scalability, decision-making and enterprise-wide performance Integrated Workforce Mobility: Tax, Immigration, Compensation, Assignment & Social Security IT outsourcing models, Cloud/Saas/Paas solutions and the role of IT in digital change You may have certification in TOGAF, PMP & ITIL Proficiency in Design Thinking and Agile Methodology You will have core understanding of the big four and their got-to-market propositions What We Look For Ability to extend our reputation in the marketplace Passion for problem-solving and helping our clients with some of their most complex issues What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Delivery Executive, Global Managed Services At EY GDS – a member of the global integrated service delivery center network by EY, Managed Services (MS) is a significant part of our business, comprising more than $7b in revenue with major clients across the globe. We help clients with people based, asset based & integrated solutions, leveraging our deep sector and domain expertise to deliver enhanced value to our clients. At EY, Managed Services (MS) is a significant part of our business, comprising more than $7b in revenue with major clients across the globe. We help clients with people based, asset based & integrated solutions, leveraging our deep sector and domain expertise to deliver enhanced value to our clients. In MS we are also ambitious, seeking to more than double our success in the future. The opportunity The Global MS Delivery Executive oversees all of the engagements of a specific offering (understood as the end-to-end delivery, including technology, process and people) and works with the various engagement leaders to improve performance and deliver results and outcomes which are in line with the respective cost baselines “as sold” and EY´s related MS contractual obligations. In terms of proposition development this role will focus on delivering services across the following topics Offering delivery normative models and Global Standard Operating Models (GSOM) Competence development and ramp up for the specific offering Regulatory advisory work when applicable to the offering and on specific engagements Risk assessments when applicable to the offering and on specific engagements Transformation/change management across offerings and engagements Technology/analytics enablement across offerings and engagements On boarding/Transition and Data Operations of related engagements Quality Assurance & Remediation Training Your Key Responsibilities This position owns the end-to-end delivery of the defined Managed Services offering to enable growth plan/s. Brand and eminence – extend our reputation in the marketplace Grow related capabilities through people development, new hires, and service line alignment and develop the appropriate third-party relationships with the various stakeholders in the supply chain of the specific offering End to end delivery, including technology for the offering globally Connecting all the SDCs (Service Delivery Centers). Site leaders for specific offering will be coordinated by this role and Account Delivery Leaders will have a dotted line into it as well Looking across the offerings and delivery centres to ensure accuracy of delivery for all engagements/solutions Accountable for the aggregated cost of delivery as it pertains to the respective offering. Deal support – role will support when clients want to review delivery and carry out due diligence. This role will need to manage due diligence visits and sign off on the cost baseline of the deals to make sure the scope is in fact “deliverable” and the supply chain is optimized Deal support – they will be the face of delivery for the related offering. Accountable for: delivery transformation, continuous improvement and transformation of the delivery network; all the SLAs for the specific offering. Input into the SLAs and build of offering Delivery Leaders in GDS and the SDCs Skills And Attributes For Success Take on leadership role in driving the development of the Global/Managed Services delivery business contributing to growing headcount and revenues as applicable Confidence and experience to lead a “first of a kind deal” arrangement and establish new delivery capabilities where needed Develop ecosystem of supplier and product vendor relationships and how to take to market a price attractive offering blending in markets and near/off shore resources. Enhance our existing recruitment, on-boarding, and development plan to both target hire experience to support the growth of the practice, and establish a training curriculum to develop the necessary skills to deliver to this market demand. Dedicated people accountable to this role, following global standards, right processes etc. Strength to withstand significant personal pressure and overtime on a regular basis to address role To qualify for the role, you must have MBA and or Master's Degree Prior experience in Managed Services delivery of global operations (15+ years) Experience in Service Management, Tech Ops and Data Ops functions and UAT capabilities and outsourcing Skilled in reengineering initiatives and data intelligence capability Lead Global Transformation programmes Experience in build/transform MS operations rather than operate BAU Domain expertise in the related field of play for the offering the candidate will drive in very large managed services/product companies with significant experience in interacting with senior client personnel including C-level Experience of working in an Agile Scrum environment Be proficient in assessing options (e.g. risk, performance and cost-benefit) and informing decision-makers with persuasive visualizations based upon assessment outputs Can coordinate / collaborate with teams & stakeholders in multiple geographies Manage Matrix teams with participants in multiple geographies This role requires flexibility in working with various Client and EY stakeholders across the world and in different time zones Travel required Ideally, you’ll also have Experience in integrated managed services solutions primarily around Risk: Transform the risk and controls functions and outcomes of the business, including enterprise risk, enterprise resilience, compliance, internal audit, and controls and protect value across stakeholders in the long term Finance: transform their finance functions and drive value creation by making finance more agile (responsive, insightful and efficient) to support better scalability, decision-making and enterprise-wide performance Integrated Workforce Mobility: Tax, Immigration, Compensation, Assignment & Social Security IT outsourcing models, Cloud/Saas/Paas solutions and the role of IT in digital change You may have certification in TOGAF, PMP & ITIL Proficiency in Design Thinking and Agile Methodology You will have core understanding of the big four and their got-to-market propositions What We Look For Ability to extend our reputation in the marketplace Passion for problem-solving and helping our clients with some of their most complex issues What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Delivery Executive, Global Managed Services At EY GDS – a member of the global integrated service delivery center network by EY, Managed Services (MS) is a significant part of our business, comprising more than $7b in revenue with major clients across the globe. We help clients with people based, asset based & integrated solutions, leveraging our deep sector and domain expertise to deliver enhanced value to our clients. At EY, Managed Services (MS) is a significant part of our business, comprising more than $7b in revenue with major clients across the globe. We help clients with people based, asset based & integrated solutions, leveraging our deep sector and domain expertise to deliver enhanced value to our clients. In MS we are also ambitious, seeking to more than double our success in the future. The opportunity The Global MS Delivery Executive oversees all of the engagements of a specific offering (understood as the end-to-end delivery, including technology, process and people) and works with the various engagement leaders to improve performance and deliver results and outcomes which are in line with the respective cost baselines “as sold” and EY´s related MS contractual obligations. In terms of proposition development this role will focus on delivering services across the following topics Offering delivery normative models and Global Standard Operating Models (GSOM) Competence development and ramp up for the specific offering Regulatory advisory work when applicable to the offering and on specific engagements Risk assessments when applicable to the offering and on specific engagements Transformation/change management across offerings and engagements Technology/analytics enablement across offerings and engagements On boarding/Transition and Data Operations of related engagements Quality Assurance & Remediation Training Your Key Responsibilities This position owns the end-to-end delivery of the defined Managed Services offering to enable growth plan/s. Brand and eminence – extend our reputation in the marketplace Grow related capabilities through people development, new hires, and service line alignment and develop the appropriate third-party relationships with the various stakeholders in the supply chain of the specific offering End to end delivery, including technology for the offering globally Connecting all the SDCs (Service Delivery Centers). Site leaders for specific offering will be coordinated by this role and Account Delivery Leaders will have a dotted line into it as well Looking across the offerings and delivery centres to ensure accuracy of delivery for all engagements/solutions Accountable for the aggregated cost of delivery as it pertains to the respective offering. Deal support – role will support when clients want to review delivery and carry out due diligence. This role will need to manage due diligence visits and sign off on the cost baseline of the deals to make sure the scope is in fact “deliverable” and the supply chain is optimized Deal support – they will be the face of delivery for the related offering. Accountable for: delivery transformation, continuous improvement and transformation of the delivery network; all the SLAs for the specific offering. Input into the SLAs and build of offering Delivery Leaders in GDS and the SDCs Skills And Attributes For Success Take on leadership role in driving the development of the Global/Managed Services delivery business contributing to growing headcount and revenues as applicable Confidence and experience to lead a “first of a kind deal” arrangement and establish new delivery capabilities where needed Develop ecosystem of supplier and product vendor relationships and how to take to market a price attractive offering blending in markets and near/off shore resources. Enhance our existing recruitment, on-boarding, and development plan to both target hire experience to support the growth of the practice, and establish a training curriculum to develop the necessary skills to deliver to this market demand. Dedicated people accountable to this role, following global standards, right processes etc. Strength to withstand significant personal pressure and overtime on a regular basis to address role To qualify for the role, you must have MBA and or Master's Degree Prior experience in Managed Services delivery of global operations (15+ years) Experience in Service Management, Tech Ops and Data Ops functions and UAT capabilities and outsourcing Skilled in reengineering initiatives and data intelligence capability Lead Global Transformation programmes Experience in build/transform MS operations rather than operate BAU Domain expertise in the related field of play for the offering the candidate will drive in very large managed services/product companies with significant experience in interacting with senior client personnel including C-level Experience of working in an Agile Scrum environment Be proficient in assessing options (e.g. risk, performance and cost-benefit) and informing decision-makers with persuasive visualizations based upon assessment outputs Can coordinate / collaborate with teams & stakeholders in multiple geographies Manage Matrix teams with participants in multiple geographies This role requires flexibility in working with various Client and EY stakeholders across the world and in different time zones Travel required Ideally, you’ll also have Experience in integrated managed services solutions primarily around Risk: Transform the risk and controls functions and outcomes of the business, including enterprise risk, enterprise resilience, compliance, internal audit, and controls and protect value across stakeholders in the long term Finance: transform their finance functions and drive value creation by making finance more agile (responsive, insightful and efficient) to support better scalability, decision-making and enterprise-wide performance Integrated Workforce Mobility: Tax, Immigration, Compensation, Assignment & Social Security IT outsourcing models, Cloud/Saas/Paas solutions and the role of IT in digital change You may have certification in TOGAF, PMP & ITIL Proficiency in Design Thinking and Agile Methodology You will have core understanding of the big four and their got-to-market propositions What We Look For Ability to extend our reputation in the marketplace Passion for problem-solving and helping our clients with some of their most complex issues What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Delivery Executive, Global Managed Services At EY GDS – a member of the global integrated service delivery center network by EY, Managed Services (MS) is a significant part of our business, comprising more than $7b in revenue with major clients across the globe. We help clients with people based, asset based & integrated solutions, leveraging our deep sector and domain expertise to deliver enhanced value to our clients. At EY, Managed Services (MS) is a significant part of our business, comprising more than $7b in revenue with major clients across the globe. We help clients with people based, asset based & integrated solutions, leveraging our deep sector and domain expertise to deliver enhanced value to our clients. In MS we are also ambitious, seeking to more than double our success in the future. The opportunity The Global MS Delivery Executive oversees all of the engagements of a specific offering (understood as the end-to-end delivery, including technology, process and people) and works with the various engagement leaders to improve performance and deliver results and outcomes which are in line with the respective cost baselines “as sold” and EY´s related MS contractual obligations. In terms of proposition development this role will focus on delivering services across the following topics Offering delivery normative models and Global Standard Operating Models (GSOM) Competence development and ramp up for the specific offering Regulatory advisory work when applicable to the offering and on specific engagements Risk assessments when applicable to the offering and on specific engagements Transformation/change management across offerings and engagements Technology/analytics enablement across offerings and engagements On boarding/Transition and Data Operations of related engagements Quality Assurance & Remediation Training Your Key Responsibilities This position owns the end-to-end delivery of the defined Managed Services offering to enable growth plan/s. Brand and eminence – extend our reputation in the marketplace Grow related capabilities through people development, new hires, and service line alignment and develop the appropriate third-party relationships with the various stakeholders in the supply chain of the specific offering End to end delivery, including technology for the offering globally Connecting all the SDCs (Service Delivery Centers). Site leaders for specific offering will be coordinated by this role and Account Delivery Leaders will have a dotted line into it as well Looking across the offerings and delivery centres to ensure accuracy of delivery for all engagements/solutions Accountable for the aggregated cost of delivery as it pertains to the respective offering. Deal support – role will support when clients want to review delivery and carry out due diligence. This role will need to manage due diligence visits and sign off on the cost baseline of the deals to make sure the scope is in fact “deliverable” and the supply chain is optimized Deal support – they will be the face of delivery for the related offering. Accountable for: delivery transformation, continuous improvement and transformation of the delivery network; all the SLAs for the specific offering. Input into the SLAs and build of offering Delivery Leaders in GDS and the SDCs Skills And Attributes For Success Take on leadership role in driving the development of the Global/Managed Services delivery business contributing to growing headcount and revenues as applicable Confidence and experience to lead a “first of a kind deal” arrangement and establish new delivery capabilities where needed Develop ecosystem of supplier and product vendor relationships and how to take to market a price attractive offering blending in markets and near/off shore resources. Enhance our existing recruitment, on-boarding, and development plan to both target hire experience to support the growth of the practice, and establish a training curriculum to develop the necessary skills to deliver to this market demand. Dedicated people accountable to this role, following global standards, right processes etc. Strength to withstand significant personal pressure and overtime on a regular basis to address role To qualify for the role, you must have MBA and or Master's Degree Prior experience in Managed Services delivery of global operations (15+ years) Experience in Service Management, Tech Ops and Data Ops functions and UAT capabilities and outsourcing Skilled in reengineering initiatives and data intelligence capability Lead Global Transformation programmes Experience in build/transform MS operations rather than operate BAU Domain expertise in the related field of play for the offering the candidate will drive in very large managed services/product companies with significant experience in interacting with senior client personnel including C-level Experience of working in an Agile Scrum environment Be proficient in assessing options (e.g. risk, performance and cost-benefit) and informing decision-makers with persuasive visualizations based upon assessment outputs Can coordinate / collaborate with teams & stakeholders in multiple geographies Manage Matrix teams with participants in multiple geographies This role requires flexibility in working with various Client and EY stakeholders across the world and in different time zones Travel required Ideally, you’ll also have Experience in integrated managed services solutions primarily around Risk: Transform the risk and controls functions and outcomes of the business, including enterprise risk, enterprise resilience, compliance, internal audit, and controls and protect value across stakeholders in the long term Finance: transform their finance functions and drive value creation by making finance more agile (responsive, insightful and efficient) to support better scalability, decision-making and enterprise-wide performance Integrated Workforce Mobility: Tax, Immigration, Compensation, Assignment & Social Security IT outsourcing models, Cloud/Saas/Paas solutions and the role of IT in digital change You may have certification in TOGAF, PMP & ITIL Proficiency in Design Thinking and Agile Methodology You will have core understanding of the big four and their got-to-market propositions What We Look For Ability to extend our reputation in the marketplace Passion for problem-solving and helping our clients with some of their most complex issues What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

As a Junior Enterprise Architect at Deutsche Bank, you will play a crucial role in supporting the development and implementation of enterprise architecture solutions that align with the organization's strategic goals. Working closely with senior architects and various stakeholders, you will ensure that IT infrastructure and applications are effectively integrated and optimized. Your key responsibilities will include assisting in designing and documenting IT strategy that aligns with business goals, supporting senior architects in developing and implementing IT strategies, preparing and maintaining architecture documentation, collaborating with various teams to ensure alignment with business and technical requirements, staying updated on emerging technologies and trends, and assisting in tracking project progress to ensure alignment with architectural standards. To excel in this role, you should have familiarity with enterprise architecture frameworks such as TOGAF, knowledge of IT infrastructure and software development, strong analytical and problem-solving abilities, and good verbal and written communication skills to interact effectively with stakeholders. At Deutsche Bank, you will benefit from a range of perks including best-in-class leave policy, gender-neutral parental leaves, sponsorship for industry-relevant certifications and education, employee assistance program, comprehensive hospitalization insurance, accident and term life insurance, and complementary health screening for individuals aged 35 and above. You will receive training and development opportunities, coaching and support from experts in your team, and a culture of continuous learning to aid your progression. Deutsche Bank promotes a positive, fair, and inclusive work environment where all individuals are welcomed and celebrated for their contributions. For further information about Deutsche Bank and our teams, please visit our company website at https://www.db.com/company/company.htm. Join us in our mission to excel together every day and be a part of the Deutsche Bank Group.,

Experience 8 to 12 years Position Responsibilities:. To Architect solutions for RPA projects. Experience with the 2 or more of the following in addition to RPA platforms: i. BPM Tools ii. API’s or Integration experience iii. Cognitive software tools iv. C# and/or Java, html, css v. Microsoft Technology (VB .NET, Windows, Internet Explorer, SQL Server, Web Services) Develops the technical design documents (TDD) and ensures proper handover of the technical design to developers to code the automations as per design. Provides technical direction and leadership for the junior technical leads/developers on the team. Assist development team in resolving technical problems. Anticipate, identify, track and resolve technical issues and risks affecting delivery. Assist with the design, build, rollout and run support for technology solutions. Design and/or configure applications/tools to functional and technical requirements. Assess automation opportunity from technical perspective and provide solution. Assist Support teams with technical expertise to resolve issues. Participate in effort estimation for new projects. Provide technical guidance to consulting and development teams. Develop reusable components and IP for the organization. Work with clients and RPA vendors to select & implement RPA technology. Should be able to drive best practices around coding, design, quality and performance. Plan and implement version control of source control. Should be able to create a complete technical architecture for RPA projects making sure the architecture is extensible and scalable. Should be able to do a comparative analysis across different RPA tools based on various technical parameters including network architecture, BOT deployment, server sizing, licensing etc. Must have done atleast 5-10 process automations for an end client in RPA. Multiple RPA platform solutioning is a plus. Should have played a Solution Architect role and must have designed a solution for the developers to build. Background projects before RPA – .Net, Development Projects. Attributes Good verbal and written communication skills. Ability to present and hold an audience (including technical details to a non-technical audience). Estimation capability. Technical Team management skills. Ability to collaborate. Ability to craft solutions in RPA along with other technologies Certifications Desirable: TOGAF 9.1 Qualifications B.E./B. Tech./MCA/B.Sc. (Computers) with MBA And/OR Post-Graduation: MCA/M.Sc. (Computers)/M.E./M.Tech/MBA Job Requirements You will be required to travel. Travel requirements may vary from project to project and type of assignment. This includes travel outside Bangalore.

Summary Location: Hyderabad The M365 Solution Architect is a critical leadership role responsible for designing, implementing, and managing Microsoft 365 solutions that align with organizational business objectives. This position necessitates an in-depth understanding of Microsoft 365 architecture, encompassing Office 365, SharePoint Online, SharePoint Embed, MS Team, MS VIVA, Azure, Windows 11, and Enterprise Mobility + Security. About the Role Major accountabilities: Design and Implementation: Develop and implement M365 solutions that meet business goals and objectives. Functional Expertise: Deep expertise in the following areas is desired. i.e., Content Management, Workplace Productivity, Employee experience, Collaboration tool kits. Technical Leadership: Provide technical direction and leadership for the M365 platform, guiding teams through complex implementations and migrations. Stakeholder Engagement: Collaborate with business stakeholders to understand requirements and translate them into effective M365 solutions. Security, Compliance and Governance: Ensure M365 solutions are secure and complaint with industry regulations and standards. Define and drive the governance for M365 solutions and Pharma domain specific ISRM and Appsec compliance. Performance Optimization: Monitor, tune and optimize the performance of M365 solutions, ensuring all non-functional requirements are met (Performance, Usability, Reliability, Security, Maintainability, availability). Innovation: Stay updated with the latest M365 features and capabilities, continuously improving solutions to leverage new functionalities. Identifying and implement innovation/automation/digitalize opportunities for the business requirements to simplify the solutions. Best practices: define and drive the best practices to be followed and implemented in all M365 solutions. Minimum Requirements: Overall 18+ Years of experience in IT solution design and delivery. Experience with M365: 10+ years proven experience in architecting M365 solutions in large enterprise environments. Cloud Computing: 10+ Years of experience with cloud computing technologies, including Azure and other Microsoft cloud services. Security and Compliance: Experience in ensuring security and compliance in M365 implementations, including knowledge of industry standards and regulations. Migration Projects: Experience in leading M365 migration projects for M&A, including email, SharePoint, and OneDrive migrations. Technical Expertise: Comprehensive knowledge of Microsoft 365 architecture, including Office 365, Windows 10 & 11, and Enterprise Mobility + Security. Power Platform and Microsoft Co-pilot knowledge would be additional advantages. Project Management: Strong project management skills, capable of leading complex projects from conception to completion. Ability to drive the vendor partners. Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders effectively. Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot and resolve complex technical issues. Collaboration: Ability to work collaboratively with cross-functional teams and build strong relationships with stakeholders. Certifications: TOGAF, IASA for architecture, Relevant Microsoft certifications, in M365 and Azure are highly desirable. Why consider Novartis? 769 million lives were touched by Novartis medicines in 2022, and while we’re proud of this, we know there is so much more we could do to help improve and extend people’s lives. We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working. We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent what's possible, when we collaborate with courage to aggressively and ambitiously tackle the world’s toughest medical challenges. Because the greatest risk in life, is the risk of never trying! Imagine what you could do here at Novartis Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division Operations Business Unit Universal Hierarchy Node Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Technology Transformation Job Type Full time Employment Type Regular Shift Work No

Description Job Title: Solution Architect Designation : Senior Company: Hitachi Rail GTS India Location: Noida, UP, India Salary: As per Industry Company Overview: Hitachi Rail is right at the forefront of the global mobility sector following the acquisition. The closing strengthens the company's strategic focus on helping current and potential Hitachi Rail and GTS customers through the sustainable mobility transition – the shift of people from private to sustainable public transport, driven by digitalization. Position Overview: We are looking for a Solution Architect that will be responsible for translating business requirements into technical solutions, ensuring the architecture is scalable, secure, and aligned with enterprise standards. Solution Architect will play a crucial role in defining the architecture and technical direction of the existing system. you will be responsible for the design, implementation, and deployment of solutions that integrate with transit infrastructure, ensuring seamless fare collection, real-time transaction processing, and enhanced user experiences. You will collaborate with development teams, stakeholders, and external partners to create scalable, secure, and highly available software solutions. Job Roles & Responsibilities: Architectural Design : Develop architectural documentation such as solution blueprints, high-level designs, and integration diagrams. Lead the design of the system's architecture, ensuring scalability, security, and high availability. Ensure the architecture aligns with the company's strategic goals and future vision for public transit technologies. Technology Strategy : Select the appropriate technology stack and tools to meet both functional and non-functional requirements, considering performance, cost, and long-term sustainability. System Integration : Work closely with teams to design and implement the integration of the AFC system with various third-party systems (e.g., payment gateways, backend services, cloud infrastructure). API Design & Management : Define standards for APIs to ensure easy integration with external systems, such as mobile applications, ticketing systems, and payment providers. Security & Compliance : Ensure that the AFC system meets the highest standards of data security, particularly for payment information, and complies with industry regulations (e.g., PCI-DSS, GDPR). Stakeholder Collaboration : Act as the technical lead during project planning and discussions, ensuring the design meets customer and business needs. Technical Leadership : Mentor and guide development teams through best practices in software development and architectural principles. Performance Optimization : Monitor and optimize system performance to ensure the AFC system can handle high volumes of transactions without compromise. Documentation & Quality Assurance : Maintain detailed architecture documentation, including design patterns, data flow, and integration points. Ensure the implementation follows best practices and quality standards. Research & Innovation : Stay up to date with the latest advancements in technology and propose innovative solutions to enhance the AFC system. Skills (Mandatory): DotNet (C#), C/C++, Java, ASP.NET Core (C#), Angular, OAuth2 / OpenID Connect (Authentication & Authorization) JWT (JSON Web Tokens) Spring Cloud, Docker, Kubernetes, Relational Databases (MSSQL) Data Warehousing SOAP/RESTful API Design, Redis (Caching & Pub/Sub) Preferred Skills (Good to have): Python, Android SSL/TLS Encryption OWASP Top 10 (Security Best Practices) Vault (Secret Management) Keycloak (Identity & Access Management) Swagger (API Documentation) NoSQL Databases, GraphQL, gRPC, OpenAPI, Istio, Apache Kafka, RabbitMQ, Consul, DevOps & CI/CD Tools Tools & Technologies: UML (Unified Modeling Language) Lucidchart / Draw.io (Diagramming) PlantUML (Text-based UML generation) C4 Model (Software architecture model), Enterprise Architect (Modeling), Apache Hadoop / Spark (Big Data), Elasticsearch (Search Engine), Apache Kafka (Stream Processing), TensorFlow / PyTorch (Machine Learning/AI) Education: Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field. Experience Required: 12+ years of experience in solution architecture or software design. Proven experience with enterprise architecture frameworks (e.g., TOGAF, Zachman). Strong understanding of cloud platforms (AWS, Azure, or Google Cloud). Experience in system integration, API design, microservices, and SOA. Familiarity with data modeling and database technologies (SQL, NoSQL). Strong communication and stakeholder management skills. Preferred: Certification in cloud architecture (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert). Experience with DevOps tools and CI/CD pipelines. Knowledge of security frameworks and compliance standards (e.g., ISO 27001, GDPR). Experience in Agile/Scrum environments. Domain knowledge in [insert industry: e.g., finance, transportation, healthcare]. Soft Skills: Analytical and strategic thinking. Excellent problem-solving abilities. Ability to lead and mentor cross-functional teams. Strong verbal and written communication.

HIRING NETWORK ARCHITECT | BANGALORE/ HYDERABAD Role: Network Architect Experience: 15 - 20 years Job Locations: Manikonda, Hyderabad / Yelahanka, Bengaluru Employment Type: Full-Time Shift Timings: 4 PM - 2 AM IST Mode of Work: WFO Key Responsibilities: Architecture Design and Planning: · Design comprehensive network infrastructure solutions aligning with business requirements and technology roadmaps. · Develop reference architectures, standards, and governance frameworks, create detailed documentation, including network diagrams, system specifications, and infrastructure maps. · Lead network infrastructure capacity planning and performance optimisation initiatives. Technical Leadership: · Provide expert guidance on complex network infrastructure problems and projects. · Mentor technical teams on network infrastructure design and implementation, Cloud, and Hybrid. · Design and implement enterprise cloud connectivity strategies and architecture solutions. Required Education & Experience: · Bachelor's degree in computer science, IT, Cyber Security, or a related discipline is desired, or equivalent work experience and technical training. · Over 15 years of experience in enterprise networking, including a minimum of 5 years in network architecture and technical leadership roles. · Proven track record of managing enterprise network environments in production, cloud, and hybrid environments. Certifications: · Cisco Certified Network Professional (CCNP Enterprise) · Cisco Certified Design Professional (CCDP) / Cisco Certified Specialist - Enterprise Design · AWS Certified Advanced Networking – Specialty · Azure Network Engineer Associate · Palo Alto Networks Certified Network Security Engineer (PCNSE) · Cisco Certified Internetwork Expert (CCIE) · Infrastructure framework (TOGAF, ITIL) Skills, Abilities, and Knowledge: · Core Routing and Switching (Cisco Catalyst/Nexus, Meraki, Dell, Arista). · BGP, OSPF, EIGRP, VXLAN, MPLS, IPSEC, GRE. · Firewall Architecture (Palo Alto, Checkpoint, Cisco ASA/Firepower). · Load Balancers (F5 BIG-IP LTM/GTM, Citrix ADC). · VPN technologies (site-to-site, client-based, SSL VPNs). · SD-WAN Technologies (VeloCloud, Meraki SD-WAN, Cisco SD-WAN) · Network Access Control (Aruba ClearPass, Cisco ISE). · Wi-Fi Solutions (Aruba, Cisco Wireless, Mist Systems) · Network Monitoring and Management Tools (SolarWinds, ThousandEyes, PRTG). · Cloud Networking (Azure Virtual WAN, AWS VPC Peering/Transit Gateway) Scripting basics (Python, Ansible) for network automation. · Interested Candidates can share upddated resume on anamika@enroutecorp.in

🚨 We’re Hiring: Security Architect (Senior-Level) 🚨 📍 Location : Delhi | 🕐 No Shift/Roaster Job Are you a cybersecurity expert with a passion for building secure digital environments? Join Binary Global , a Cisco Gold Certified and AWS Consulting Partner , as we expand our team of technology leaders. We’re looking for a Security Architect with 10+ years of experience in cybersecurity, assessments, and enterprise-grade security architecture. In this role, you’ll drive strategic security initiatives, lead client engagements across industries, and define robust security roadmaps aligned with global standards like ISO 27001, NIST, DPDP, GDPR , and more. 🔐 What You’ll Do: Lead comprehensive security assessments and gap analysis . Design security architecture covering cloud, network, application, and data layers. Recommend improvements aligned with compliance & best practices. Collaborate with client teams to define security strategies. Stay updated on emerging threats and industry frameworks. 🧠 What You Bring: Proven expertise in cybersecurity architecture & assessments . Deep knowledge of frameworks: ISO 27001/02, NIST, CIS, DPDP . Familiarity with AWS, Azure, GCP , and tools like SIEM, DLP, IDS/IPS. Strong communication & documentation skills. Certifications like CISSP, CISM, CISA, SABSA, or TOGAF are a plus. Apply now or refer someone in your network who fits this profile! #Hiring #SecurityArchitect #CyberSecurityJobs #ISO27001 #NIST #CloudSecurity #DataProtection #DPDP #TOGAF #CISSP #CISM #BinaryGlobal #AWSPartner #CiscoPartner

Company: MetaForData Technologies Pvt. Ltd. Location : Pune | Hybrid | Remote flexibility Experience : 15+ Years Role Overview: We are seeking an accomplished Solution Architect with deep expertise in Cloud platforms (AWS/Azure/GCP) and AI/ML-driven solutioning. This strategic role involves architecting scalable, secure, and intelligent systems across diverse industries. You will collaborate with cross-functional teams to design next-gen platforms, mentor engineering teams, and influence technology vision. Key Responsibilities: Lead end-to-end architecture for large-scale, cloud-native platforms integrating AI/ML capabilities Design and review solutions that scale across hybrid/multi-cloud environments (AWS/Azure/GCP) Translate business requirements into technical strategies and reference architectures Guide data engineering, ML Ops, DevOps, and platform teams in implementing reusable components Define and govern architectural best practices, security standards, and compliance (e.g., GDPR, HIPAA) Collaborate with product leaders, delivery managers, and clients to ensure architectural alignment Evaluate emerging technologies, prototype solutions, and drive innovation adoption Contribute to client proposals, solution demos, and technical leadership in pre-sales Required Skills & Qualifications : 15+ years of experience in enterprise IT with at least 5 years as a Solution Architect Proven expertise in designing distributed systems on AWS / Azure / GCP Hands-on experience in building and deploying AI/ML models, pipelines, and intelligent platforms Strong understanding of data architecture, data lakes, ML Ops, and real-time analytics Proficient in Python, Java, or equivalent, and modern ML frameworks (TensorFlow, PyTorch, etc.) Familiarity with API-led integration, microservices, containerization (Docker, Kubernetes) Solid grasp of security, compliance frameworks, and governance models Strong stakeholder communication and team mentorship abilities Good to Have: Certifications: AWS/Azure/GCP Architect, TOGAF, or equivalent Experience in regulated domains such as healthcare, finance, or agriculture tech Exposure to generative AI (e.g., OpenAI, LLM-based architectures) Why Join MetaForData? Work on real-world AI and data transformation projects across industries Lead with autonomy and innovation in a fast-growing, impact-driven environment Be part of a leadership ecosystem that values vision, ethics, and engineering excellence Competitive compensation + equity options + performance incentives Apply Now: If you’re a visionary technologist with a passion for scalable solutions and intelligent systems, we’d love to connect. 📩 careers@metafordata.com | 🌐 www.metafordata.com