250 Platform Architecture Jobs - Page 8

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP BTP Integration Suite Good to have skills : SAP ABAP Development for HANAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements in Hyderabad. You will play a crucial role in the development and integration of SAP BTP Integration Suite. 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 design and development of applications using SAP BTP Integration Suite.- Collaborate with stakeholders to gather requirements and ensure alignment with business processes.- Perform code reviews and provide technical guidance to team members.- Conduct testing and debugging of applications to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP BTP Integration Suite.- Good To Have Skills: Experience with SAP ABAP Development for HANA.- Strong understanding of SAP cloud platform architecture and services.- Hands-on experience in developing and integrating applications using SAP technologies.- Knowledge of RESTful APIs and web services.- Ability to troubleshoot and resolve technical issues efficiently. Additional Information:- The candidate should have a minimum of 5 years of experience in SAP BTP Integration Suite.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

-UI/UX Lead (Only US Citizens and Green Card Holders) Company Overview: At Codvo, software and people transformations go hand-in-hand We are a global empathy-led technology services company Product innovation and mature software engineering are part of our core DNA Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. Key Responsibilities: Lead Design StrategyDrive overall user experience and design strategy, ensuring it aligns with business goals, brand identity, and user needs. UI/UX Design LeadershipLead the UI/UX design process from conceptualization to execution for web, mobile, and desktop applications. Collaboration with Product TeamsWork closely with product managers, developers, and marketing teams to understand product requirements, user needs, and project goals Translate these into engaging, user-centered designs. User Research & TestingOversee user research activities (e.g., user interviews, usability testing, surveys) to gather insights that inform design decisions Analyze user feedback and data to continuously improve the user experience. Mentorship & Team DevelopmentProvide leadership and mentorship to a team of UI/UX designers, guiding their growth, improving their skills, and fostering a collaborative and innovative environment. Prototyping & Interaction DesignDesign high-fidelity mockups, wireframes, and interactive prototypes using tools like Sketch, Figma, Adobe XD, or similar. Design SystemsLead the development and maintenance of a design system that ensures consistency across all digital touchpoints Work to improve and update the system as new patterns and UI trends emerge. Cross-functional LeadershipPartner with engineering teams to ensure seamless implementation of designs and address any design-related challenges during development. Client & Stakeholder CommunicationCommunicate design concepts, rationale, and progress to senior leadership, stakeholders, and clients. Experience: 10+ years of experience in UI/UX design, with a focus on leading design initiatives. Proven track record of designing and delivering high-quality user interfaces and exceptional user experiences for complex products. Extensive experience with design tools such as Sketch, Figma, Adobe XD, InVision, etc. Strong understanding of responsive design principles and cross-platform design (web, mobile, tablet, etc.). Show more Show less

Required Experience: Minimum of 7 years of hands-on experience with VSAT platforms such as iDirect, Comtech, Gilat, Newtec, or similar technologies. Satellite RF communication systems. IP networking protocols, including TCP, UDP, RTP, routing, and switching. dvanced understanding of QoS and WAN optimization strategies, including techniques like TCP acceleration, caching, and compression. Familiarity with Unix-based system environments. Experience with Medium Earth Orbit (MEO) satellite systems is considered an added advantage.

Role Purpose The purpose of the role is to create and engineer exceptional product architectural design for existing and new products and enable delivery teams to provide exceptional client engagement and satisfaction. Do - Define product requirements and design needs by displaying complete understanding of product vision and business requirements - Develop architectural designs for the new and existing products - Part Implementation of derived solution - Debug and Solve critical problems during implementation - Evangelize Architecture to the Project and Customer teams to achieve the final solution. - Constant analysis and monitoring of the product solution - Continuously improve and simplify the design, optimize cost and performance - Understand market- driven business needs and objectives; technology trends and requirements to define architecture requirements and strategy - Create a product-wide architectural design that ensures systems are scalable, reliable, and compatible with different deployment options - Develop theme-based Proof of Concepts (POCs) in order to demonstrate the feasibility of the product idea and realise it as a viable one - Analyse, propose and implement the core technology strategy for product development - Conduct impact analyses of changes and new requirements on the product development effort - Provide solutioning of RFPs received from clients and ensure overall product design assurance as per business needs - Collaborate with sales, development, consulting teams to reconcile solutions to architecture - Analyse technology environment, enterprise specifics, client requirements to set a product solution design framework/ architecture - Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology - Define and understand current state product features and identify improvements, options & tradeoffs to define target state solutions - Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps - Validate the solution/ prototype from technology, cost structure and customer differentiation point of view - Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem - Tracks industry and application trends and relates these to planning current and future IT needs - Provides technical and strategic input during the product deployment and deployment - Support Delivery team during the product deployment process and resolve complex issues - Collaborate with delivery team to develop a product validation and performance testing plan as per the business requirements and specifications. - Identifies implementation risks and potential impacts. - Maintain product roadmap and provide timely inputs for product upgrades as per the market needs - Competency Building and Branding - Ensure completion of necessary trainings and certifications - Develop Proof of Concepts (POCs), case studies, demos etc. for new growth areas based on market and customer research - Develop and present a point of view of Wipro on product design and architect by writing white papers, blogs etc. - Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits - Be the voice of Wipro's Thought Leadership by speaking in forums (internal and external) - Mentor developers, designers and Junior architects for their further career development and enhancement - Contribute to the architecture practice by conducting selection interviews etc Deliver No.Perforamance MeterMeasure1Product design, engineering and implementationCSAT, quality of design/ architecture, FTR, delivery as per cost, quality and timeline, POC review and standards 2Capability development% trainings and certifications completed, mentor technical teams, Thought leadership content developed (white papers, Wipro PoVs) Mandatory Skills: MuleSoft Platform Architecture. Experience8-10 Years.

Product Director The Role: "Product Director for Strategic Platforms & Advanced AI " is a role responsible for overseeing the strategy, development, and management of both individual product offerings and the underlying platform that supports them, ensuring seamless integration and optimal functionality across multiple product lines, often requiring a deep understanding of both technical aspects and business needs to drive holistic product success. A strong appreciation of Human Centric Design and User Experience sensitivity would be important. Key responsibilities: Platform StrategyBe the custodian of the overarching vision and roadmap for the Lab45 AI platform, considering scalability, flexibility, and future needs of various products built on it. Product IntegrationCoordinating the development of individual products to ensure they seamlessly integrate with the platform, leveraging shared features and functionalities. Technical OversightMonitoring platform performance, identifying technical bottlenecks, and collaborating with engineering teams to optimize platform architecture. User ExperienceEnsuring a consistent and intuitive user experience across all products built on the platform, considering user needs and feedback. Stakeholder ManagementCommunicating platform strategy and roadmap to various stakeholders, including product teams, engineering teams, and business leaders. Metrics and AnalyticsTracking key performance indicators (KPIs) related to both platform usage and individual product performance to identify areas for improvement. Key skills required for this role: Technical AcumenStrong understanding of software development principles, cloud technologies, and platform architecture. Product Management ExpertiseProven experience in product planning, feature prioritization, and road mapping. Cross-functional CollaborationAbility to work effectively with diverse teams including engineering, design, marketing, and sales. Strategic ThinkingCapability to see the big picture and make informed decisions that benefit both individual products and the overall platform strategy. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Work experience with Programming Language such as C, C++, Java, Python, etc. 5-8+ years of experience in the embedded domain to design, develop and support software solutions on multi-core ARM/CPUs, Strong C/C++ programming skills. Embedded Platforms experience including low-level firmware, kernel and user-space components. Design and development of software for heterogeneous compute platforms consisting of ARMs, GPUs, DSPs, and specialized hardware accelerators in an embedded SoC systems with J-TAG or ICE debuggers. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. BSP, ARM Arch, Busses (I2C, SPI etc), DDR, Baremetal drivers Experience in real-time SW development for embedded products. Ability to analyze, triage and debug complex system level problems and issues. Good Problem solving & analysis skills; Good communication and enthusiasm to learn. Ability to learn and work together in a team. Must be a Team player. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Dear Candidate, We are hiring a Platform Engineer to build developer platforms that streamline application deployment and observability. Ideal for engineers excited about internal tooling and DevOps enablement. Key Responsibilities: Develop and maintain internal platforms using Kubernetes and CI/CD Build self-service tools for development and operations teams Ensure platform scalability, reliability, and security Work cross-functionally with DevOps and software engineering teams Required Skills & Qualifications: Experience with Kubernetes, Docker, and Helm Proficiency in infrastructure-as-code (Terraform, Pulumi) Familiarity with observability tools (Prometheus, Grafana) Bonus: Experience with platform engineering patterns like Backstage Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Are you an experienced Platform Engineer looking for a new opportunity to showcase your skills and expertise? If so, then Torry Harris is looking for you! We are currently seeking a skilled and motivated individual to join our team and play a critical role in streamlining and automating our cloud infrastructure. As a Principal Platform Engineer he need to lead the design, development, and optimization of scalable infrastructure that supports software development and deployment. The ideal candidate will have deep expertise in cloud technologies, automation, and DevOps practices, along with leadership experience Roles and Responsibilities • Architect and maintain highly scalable and resilient infrastructure. • Lead the development of internal developer platforms to streamline software delivery. • Drive automation and CI/CD best practices across engineering teams. • Ensure security, compliance, and governance of platform architecture. • Collaborate with engineering leadership to align platform strategy with business goals. • Mentor and guide junior engineers in platform engineering best practices. • Troubleshoot and resolve complex platform-related issues. • Evaluate and integrate new technologies to improve platform capabilities. • Extensive experience with cloud platforms (AWS, Azure, Google Cloud). • Proficiency in scripting languages (Python, Bash, etc.). • Expertise in containerization (Docker, Kubernetes) and infrastructure as code (Terraform, Ansible). • Strong leadership, problem-solving, and collaboration skills. • Experience with high-availability systems..

About The Role Role Purpose The purpose of the role is to create and engineer exceptional product architectural design for existing and new products and enable delivery teams to provide exceptional client engagement and satisfaction. ? Do Define product requirements and design needs by displaying complete understanding of product vision and business requirements Develop architectural designs for the new and existing products Part Implementation of derived solution Debug and Solve critical problems during implementation Evangelize Architecture to the Project and Customer teams to achieve the final solution. Constant analysis and monitoring of the product solution Continuously improve and simplify the design, optimize cost and performance Understand market- driven business needs and objectives; technology trends and requirements to define architecture requirements and strategy Create a product-wide architectural design that ensures systems are scalable, reliable, and compatible with different deployment options Develop theme-based Proof of Concepts (POCs) in order to demonstrate the feasibility of the product idea and realise it as a viable one Analyse, propose and implement the core technology strategy for product development Conduct impact analyses of changes and new requirements on the product development effort Provide solutioning of RFPs received from clients and ensure overall product design assurance as per business needs Collaborate with sales, development, consulting teams to reconcile solutions to architecture Analyse technology environment, enterprise specifics, client requirements to set a product solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state product features and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the product deployment and deployment Support Delivery team during the product deployment process and resolve complex issues Collaborate with delivery team to develop a product validation and performance testing plan as per the business requirements and specifications. Identifies implementation risks and potential impacts. Maintain product roadmap and provide timely inputs for product upgrades as per the market needs ? Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs), case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on product design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipro’s Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc ? Deliver No.Performance ParameterMeasure1.Product design, engineering and implementationCSAT, quality of design/ architecture, FTR, delivery as per cost, quality and timeline, POC review and standards2.Capability development% trainings and certifications completed, mentor technical teams, Thought leadership content developed (white papers, Wipro PoVs) ? Mandatory Skills: Salesforce Data Cloud. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Location Mumbai Job Title: Digitalization Applications Specialist Responsibility Lead and participate actively in creating market pull for Digitalization product portfolio in the various Industries. Responsible for establishing technical credibility and can drive discussions with key decision makers. Technical guidance & win-win alignment between business requirements and use cases. Plan and execute the activities of configuration per design requirement, conduct conference room pilots, Demo's, POC and resolve any queries related to requirements and solution design - to bring a pursuit to closure. Responsible for promoting Digitalization solutions in various Industries and for the solution conceptualization, design, development of Industrial IOT related projects. Support proposal development by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value-creating strategies (innovation, growth, profit) and models for customers. Design & execute measurable go-to-market activities & initiatives aligned with the objectives of the business group. Must demonstrate progressive leadership in the full life cycle of the solution delivery. Plan, coach, and support regional sales teams on technical enablement and value discovery and assessment method. Should be willing to travel across India. Must have strong communication, presentation, and CRM skills. Skills and Competencies (required) Industrial Software/Embedded/Application Architect Tech experience, in particular with IT/OT integration Advance Handle executive level customer interactions Expert Innovation process, New ideas / requirements from customer interactions Basic Understanding customer requirements, develop exesting & create new concepts Advance Experience 7+ years of experience in the Industry, minimum 3+ years of experience in the Industrial Internet of Things area. Techno-functional expert in software product promotion, microservices, cloud enablement, platform design, systems integration. Experience in Software Product Management, Engineering Management and Platform Architecture is desired. Track record of delivering large scale transformations internally or as a service provider is huge plus. Knowledge on Cross-Platform Architect in the Industrial Internet of Things space who has worked on platforms like AWS, Azure IoT Hub, PTC Thing works, MindSphere, either all or some of them. Driving Industry 4.0 solution, that is centered around Connected Products. IoT Protocols (MQTT, AMQP, CoAP); OT Protocols (not limited to Modbus RTU, Modbus TCP, IEC 104). API and Web Service. Ability to work in a rapidly changing environment where continuous innovation is desired. Analytical and quantitative skills and the ability to use hard data and metrics to back up assumptions and develop business cases. Ability to clearly communicate these data insights to others Education BE / B.tech in Information Technology, Electrical/Electronics, Instrumentation or Automation Engineering, Process engineering or comparable. Strong interest in IT Technologies, Manufacturing, IoT, and Industry 4.0 themes.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the application development process and ensuring successful project delivery. 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 application development process effectively Ensure timely project delivery Mentor and guide team members for skill development Professional & Technical Skills: Must To Have Skills: Proficiency in Google Cloud Platform Architecture Strong understanding of cloud computing principles Experience in designing scalable and secure cloud solutions Knowledge of infrastructure as code and automation tools Hands-on experience in implementing cloud-based applications Additional Information: The candidate should have a minimum of 5 years of experience in Google Cloud Platform Architecture This position is based at our Chennai office A 15 years full-time education is required Qualification 15 years full time education

Project Role : Cloud Migration Engineer Project Role Description : Provides assessment of existing solutions and infrastructure to migrate to the cloud. Plan, deliver, and implement application and data migration with scalable, high-performance solutions using private and public cloud technologies driving next-generation business outcomes. Must have skills : Google Cloud Platform Architecture Good to have skills : Microsoft Azure Architecture Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Migration Engineer, you will provide a comprehensive assessment of existing solutions and infrastructure to facilitate their migration to the cloud. Your typical day will involve planning, delivering, and implementing application and data migration strategies that leverage both private and public cloud technologies. You will focus on creating scalable and high-performance solutions that drive next-generation business outcomes, ensuring that the migration process aligns with organizational goals and enhances operational efficiency. 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. Collaborate with cross-functional teams to ensure seamless migration processes. Analyze and optimize existing cloud architectures for improved performance and cost-efficiency. Design and architect cloud infrastructure solutions using Infrastructure as Code (IaC) and Policy as Code (PaC) principles Develop and implement strategies for secure and scalable cloud environments, leveraging DevSecOps practices Collaborate with development, operations, and security teams to ensure seamless integration and deployment of cloud infrastructure Create and maintain automated deployment pipelines for cloud resources using tools like Terraform and Ansible Define and enforce policies for cloud resource management and security using tools like Sentinel Conduct regular assessments of cloud infrastructure to ensure compliance with security standards and best practices Stay updated with the latest cloud technologies, trends, and best practices to continuously improve infrastructure design and implementation Professional & Technical Skills: Must To Have Skills: Proficiency in Google Cloud Platform Architecture. Good To Have Skills: Experience with Microsoft Azure Architecture. Strong understanding of cloud migration strategies and best practices. Familiarity with infrastructure as code tools and automation frameworks. Experience in assessing and optimizing cloud resource utilization. Strong understanding of Infrastructure as Code (IaC) and Policy as Code (PaC) concepts Proficiency in cloud platforms (esp. Azure, GCP) and containerization technologies (Docker, Kubernetes) Experience with DevSecOps practices and tools Experience with security and compliance standards in cloud environments. Knowledge of automation and orchestration tools Additional Information: The candidate should have minimum 3 years of experience in Google Cloud Platform Architecture. Proven experience (min. 3 years) in cloud infrastructure architecture and design This position is based at our Hyderabad office. A 15 years full time education is required. Certification in cloud technologies (e.g., HashiCorp Certified:Terraform Associate, Google Cloud Professional Cloud Architect, Microsoft Certified:Azure Solutions Architect Expert) Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities:I.Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.II.Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.III.Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, AvayaIV.Integrate with IVR systems and Proficiency in webhook setup and API integration.V.Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.VI.Creation of agents in Agent builder and integrating them into end end to pipeline using python.VII.Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.VIII.Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilitiesIX.Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.X.Document technical designs, processes, and setup for various integrations.XI.Experience with programming languages such as Python/Node.js Professional & Technical Skills: Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms, NLP and techniques. Experience with chatbot , generative AI models, prompt Engineering. Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:1 The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.2 The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities:I.Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.II.Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.III.Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, AvayaIV.Integrate with IVR systems and Proficiency in webhook setup and API integration.V.Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.VI.Creation of agents in Agent builder and integrating them into end end to pipeline using python.VII.Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.VIII.Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilitiesIX.Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.X.Document technical designs, processes, and setup for various integrations.XI.Experience with programming languages such as Python/Node.js Professional & Technical Skills: Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms, NLP and techniques. Experience with chatbot , generative AI models, prompt Engineering. Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:I.The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.II.The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities:?Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX. Develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services?Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline. Apply GenAI-Vertex AI models as part of the solution, ?Ensure proper cloud application pipeline with production-ready quality. Experience with programming languages such as Python/Node.js Professional & Technical Skills: Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Have some understanding of AI/ML algorithms and techniques. Experience with chatbot , generative AI models, prompt Engineering Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning Services. The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Google Cloud Platform Architecture Good to have skills : React.js, Cloud Network Operations Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will collaborate with teams to ensure successful project delivery and contribute to key decisions. 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 development and implementation of new features Conduct code reviews and provide technical guidance to team members Professional & Technical Skills: (Project Specific)-Mandatory Certifications:GCP Associate Cloud Engineer OR GCP Professional Cloud Architect-MUST HAVE SKILLS:Hands-on experience in setting Cloud foundations/Landing zone, Cloud infrastructure design, network architecture design & implementation, Cloud security, logging & monitoring, -Hands-on experience in at least two or more disciplines :GKE migration, GCVE migration, CloudBuild & Cloud Run, VM migration to GCE, CI/CD pipeline, -Hands-on experience in writing Infrastructure-as-code using terraform scripting. -Excellent verbal & written communication in English. Must To Have Skills: Proficiency in Google Cloud Platform Architecture Good To Have Skills: Experience with Cloud Network Operations Strong understanding of cloud architecture principles Hands-on experience in designing and implementing scalable cloud solutions Knowledge of containerization technologies like Docker and Kubernetes Additional Information: The candidate should have a minimum of 5 years of experience in Google Cloud Platform Architecture This position is based at our Gurugram office A 15 years full-time education is required Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. 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 implementation of AI and ML solutions. Stay updated on the latest AI and ML technologies. Mentor junior team members. Professional & Technical Skills: Must To Have Skills:Proficiency in Google Cloud Platform Architecture. Strong understanding of AI and ML concepts. Experience with deploying AI models in production environments. Hands-on experience with deep learning and neural networks. Knowledge of chatbots and image processing. Additional Information: The candidate should have a minimum of 5 years of experience in Google Cloud Platform Architecture. This position is based at our Coimbatore office. A 15 years full-time education is required. Qualifications 15 years full time education

Project Role : Sales Origination Practitioner Project Role Description : Orchestrate and lead the entire origination process for a cross-client, cross service-group deal working with the CAL, the client team and relevant subject matter experts. Must have skills : Sales Pursuit Management Good to have skills : Google Cloud Platform Architecture, Google Cloud Compute Services Minimum 15 year(s) of experience is required Educational Qualification : BE Summary :As a Sales Origination Practitioner, you will orchestrate and lead the entire origination process, cross service-group deal working with the CAL, the client team and relevant subject matter experts. You will be responsible for driving the sales pursuit management and ensuring successful deal closures. Your typical day will involve collaborating with the client team, coordinating with subject matter experts, and leveraging your expertise in sales pursuit management to drive the origination process and achieve sales targets. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- 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 origination process cross service-group deals.- Collaborate with the client team and relevant subject matter experts.- Drive the sales pursuit management and ensure successful deal closures. Professional & Technical Skills:- Must To Have Skills:Proficiency in Sales Pursuit Management.- Good To Have Skills:Experience with Google Cloud Platform Architecture, Google Cloud Compute Services.- Strong understanding of sales strategies and techniques.- Experience in managing complex sales pursuits.- Proven track record of achieving sales targets.- Excellent communication and negotiation skills. Additional Information:- The candidate should have a minimum of 15 years of experience in Sales Pursuit Management.- This position is based at our Gurugram office.- A BE degree is required. Qualifications BE

Project Role : Sales Origination Practitioner Project Role Description : Orchestrate and lead the entire origination process for a cross-client, cross service-group deal working with the CAL, the client team and relevant subject matter experts. Must have skills : Sales Pursuit Management Good to have skills : Google Cloud Platform Architecture, Google Cloud Compute Services Minimum 15 year(s) of experience is required Educational Qualification : BE Summary :As a Sales Origination Practitioner, you will orchestrate and lead the entire origination process for cross service-group deal working with the CAL, the client team and relevant subject matter experts. You will be responsible for driving the sales pursuit management and ensuring successful deal closures. This role requires strong leadership skills and the ability to collaborate with multiple teams to achieve sales targets and deliver exceptional customer experiences. Roles and Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- 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 and manage the entire origination process for cross-client, cross service-group deals.- Collaborate with the CAL, client team, and subject matter experts to drive successful deal closures.- Develop and maintain strong relationships with clients and stakeholders.- Provide guidance and support to junior professionals in the sales pursuit management process. Professional and Technical Skills:- Must To Have Skills:Proficiency in Sales Pursuit Management.- Good To Have Skills:Experience with Google Cloud Platform Architecture, Google Cloud Compute Services.- Strong understanding of sales strategies and techniques.- Excellent communication and negotiation skills.- Ability to analyze market trends and identify business opportunities.- Proven track record of achieving sales targets.- Experience in managing complex sales processes.- Ability to build and maintain strong client relationships. Additional Information:- The candidate should have a minimum of 15 years of experience in Sales Pursuit Management.- This position is based at our Chennai office.- A BE degree is required. Qualifications BE

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : Total 15 years of full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. Design, develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline using python. Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Ensure proper cloud application pipeline with production-ready quality. Professional & Technical Skills: Must To Have Skills:CCAI hands on experience and generative AI understanding. Good To Have Skills:Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms and techniques. Experience with chatbot , generative AI models, prompt Engineering. Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 4 -7.5 years of experience in Google Cloud Machine Learning Services and overall experience 7.5 - 9 years The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office. Qualifications Total 15 years of full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in shaping the data platform components. 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 data platform blueprint and design Implement data platform components Ensure seamless integration between systems and data models Professional & Technical Skills: Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform Strong understanding of data platform architecture Experience in data modeling and integration Knowledge of cloud-based data solutions Hands-on experience with data platform implementation Additional Information: The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform This position is based at our Bengaluru office A 15 years full-time education is required Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX. Develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline. Apply GenAI-Vertex AI models as part of the solution, Ensure proper cloud application pipeline with production-ready quality. Experience with programming languages such as Python/Node.js Professional & Technical Skills: Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Have some understanding of AI/ML algorithms and techniques. Experience with chatbot, generative AI models, prompt Engineering Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning Services. The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. A 15-year full time education is required Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities: Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX. Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya Integrate with IVR systems and Proficiency in webhook setup and API integration. Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline using python. Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. Document technical designs, processes, and setup for various integrations. Experience with programming languages such as Python/Node.js Professional & Technical Skills: Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms, NLP and techniques. Experience with chatbot , generative AI models, prompt Engineering. Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. A 15 years full time education is required Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya Integrate with IVR systems and Proficiency in webhook setup and API integration. Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline using python. Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. Document technical designs, processes, and setup for various integrations. Experience with programming languages such as Python/Node.js Professional & Technical Skills: Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms and techniques. Experience with chatbot , generative AI models, prompt Engineering Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 7 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. A 15 years full time education is required Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya Integrate with IVR systems and Proficiency in webhook setup and API integration. Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline using python. Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. Document technical designs, processes, and setup for various integrations. Experience with programming languages such as Python/Node.js Professional & Technical Skills: Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms and techniques. Experience with chatbot, generative AI models, prompt Engineering Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 7 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. A 15-year full time education is required Qualification 15 years full time education