8 Architectural Leadership Jobs

A great opportunity awaits to lead the Global Platform of a market-leading international higher education research and search platforms. You will be the highly skilled and strategic Platform Owner for the Contact Centre, responsible for overseeing the development, maintenance, and optimization of our global platforms. Your role will involve defining the platform strategy, collaborating with cross-functional teams, and ensuring alignment with business objectives. Your key responsibilities will include: 1. Technical Vision and Commercial Alignment: - Define and communicate a technical vision for the software platform that aligns with commercial goals and objectives across diverse global markets. - Collaborate with commercial teams to understand market dynamics and tailor the technical strategy accordingly. 2. Global Stakeholder Management: - Develop and nurture relationships with stakeholders across diverse global teams, ensuring alignment with business objectives. - Effectively communicate technical strategies to non-technical stakeholders, fostering a shared understanding of the platform's value proposition. 3. Architectural Leadership and Scalability: - Build/Lead the design and evolution of the platform's architecture, emphasizing scalability and adaptability for varied global network demands. - Collaborate with regional technical leads to ensure architectural coherence across different geographical contexts. 4. Development Oversight and Global Collaboration: - Oversee the software development lifecycle, promoting collaboration and knowledge-sharing within global engineering teams. - Implement strategies for effective collaboration across time zones and cultural differences. 5. Global Contact Centre Technology Roadmap Planning: - Develop a comprehensive technology roadmap that caters to the diverse needs of global markets. - Prioritize features and technical enhancements based on regional requirements and market nuances. 6. Performance Optimization and Quality Assurance: - Implement strategies for optimizing software performance while considering the varying network conditions globally. - Collaborate with global quality assurance teams to ensure robust testing processes and high-quality deliverables. 7. Security and Compliance Across Regions: - Oversee the implementation of robust security measures, ensuring compliance with regional and global regulations. - Collaborate with legal and compliance teams to address region-specific requirements. 8. Commercial Innovation and Stakeholder Engagement: - Foster a culture of commercial innovation through research and development initiatives. - Engage with key stakeholders globally to gather insights, address concerns, and identify opportunities for business growth. 9. Team Leadership and Talent Development: - Lead and mentor a diverse global technical team, promoting collaboration and ensuring a cohesive team culture. - Collaborate with HR to recruit, onboard, and develop top-tier technical talent across different regions. Qualifications: - Advanced Bachelor's degree in Computer Science, Engineering, Business, or related field; Master's degree preferred. - Proven track record of 5+ years in platform ownership role, preferably on Genesys Contact Centre Platform with extensive knowledge of the platform's architecture capabilities. - Strong understanding of software development methodologies, including Agile, Scrum, and Kanban. - Excellent leadership and communication skills, with the ability to influence and inspire cross-functional teams and stakeholders. - Strategic thinker with a data-driven and customer-centric approach to decision-making. - Experience working with distributed teams and managing complex projects with multiple stakeholders. - Demonstrated ability to thrive in a fast-paced, dynamic environment and drive results amidst ambiguity and change.,

We are looking for a dynamic and experienced Head Architect to lead our architectural department in our real estate company located at MG Road, Gurgaon. As the Head Architect, you will be instrumental in shaping our projects, ensuring design excellence, and supervising the architectural aspects of our developments. Collaborating closely with cross-functional teams and external partners, you will bring our vision to life and create spaces that are both aesthetically pleasing and functional. **Job Description & Responsibilities:** **Architectural Leadership:** - Provide visionary architectural leadership to guide the design team towards creative and innovative solutions aligning with company goals and project requirements. - Ensure that architectural designs comply with local regulations, codes, and zoning laws. **Project Management:** - Supervise all phases of architectural projects, from concept to completion, ensuring adherence to timelines, budgets, and quality standards. - Collaborate with project managers, construction teams, and stakeholders for seamless project execution. **Design Development:** - Develop initial design concepts and sketches to translate ideas into visual representations meeting client needs and preferences. - Strive for a balance between creativity and practicality, considering functionality, aesthetics, and sustainability. **Team Management:** - Lead, mentor, and manage the architectural team, including architects, designers, and drafters. - Delegate tasks, set goals, and provide constructive feedback to foster team growth and performance. **Client and Stakeholder Engagement:** - Work with clients, investors, and stakeholders to understand their vision, requirements, and concerns. - Present design proposals to clients and incorporate their feedback into the design process. **Innovation and Research:** - Stay updated on the latest architectural trends, technologies, and materials, integrating innovative ideas into design concepts. - Explore sustainable and energy-efficient design solutions to support environmental goals. Additionally, responsibilities include conceptualizing and designing commercial buildings, ensuring compliance with MEP requirements, managing infrastructure planning, design management, and coordination across multiple projects simultaneously, collaborating with cross-functional teams to deliver high-quality designs meeting client expectations, developing detailed drawings and specifications for construction purposes, and ensuring timely project completion within budget constraints. **Qualifications:** - Bachelor's or Master's degree in Architecture. - Professional licensure as an architect (Optional). - Proficiency in architectural design software, AutoCAD, CAD tools, and 3D visualization. **Job Types:** Full-time, Permanent **Benefits:** - Commuter assistance - Flexible schedule - Health insurance - Internet reimbursement - Leave encashment - Life insurance - Paid sick time - Provident Fund **Schedule:** - Day shift - Fixed shift - Morning shift **Bonuses:** - Performance bonus - Yearly bonus **Work Location:** In person,

Are you someone who excels as a Strategic Advisor, designing and implementing complex and enterprise-scale Salesforce solutions for Customers Do you have the ability to bring together teams from various stakeholders to actualize a shared vision and translate a customer's vision into a well-defined roadmap Are you passionate about solving problems for customers and possess the skills to articulate and present at an executive level Join our Strategic Accounts Excellence team in the Sales and Distribution business unit of Salesforce India. This niche team provides specialized attention to a select group of strategic customers in the India region, ensuring a high level of governance and active participation across internal teams, customers, and external stakeholders. As a Technical Architect within this team, you will play a crucial role in ensuring customer success by addressing complex challenges and guiding implementation partners. As a Technical Architect specializing in Salesforce Marketing Cloud, you will lead the design and implementation of cutting-edge marketing solutions, focusing on areas such as Marketing Cloud Engagement, Personalization, Data Cloud, and Intelligence. The ideal candidate will have a strong background in architecting scalable solutions within the Salesforce ecosystem, collaborating with cross-functional teams to drive digital transformation and enhance customer experiences. Key Responsibilities: - Architectural Leadership: Design end-to-end Salesforce Marketing Cloud solutions incorporating Engagement, Personalization, Data Cloud, and Intelligence components. Define technical architecture and integration strategies aligned with business objectives. - Solution Development & Implementation: Lead technical teams in configuring, customizing, and deploying Salesforce Marketing Cloud components. Develop integrations with internal and third-party systems to ensure seamless data flow and system interoperability. - Technical Strategy & Innovation: Evaluate emerging technologies to enhance Salesforce Marketing Cloud. Provide thought leadership in marketing automation, data analytics, and personalized customer engagement. - Project & Stakeholder Management: Collaborate with business and IT stakeholders to translate requirements into effective solutions. Manage project timelines, deliverables, and ensure quality standards. - Best Practices: Establish technical documentation, coding standards, and architectural guidelines. Required Qualifications: - 10+ years in IT with a focus on Salesforce implementations, particularly in Marketing Cloud. - Proficiency in Marketing Cloud Engagement, Personalization, Data Cloud, and Intelligence solutions. - Strong skills in cloud architecture, API integrations, data management, and automation frameworks. - Experience in developing and maintaining complex integrations and data pipelines. - Salesforce certifications like Salesforce Marketing Cloud Consultant, Developer, or Technical Architect preferred. - Excellent analytical, problem-solving, communication, leadership, and stakeholder management skills. - Ability to thrive in a fast-paced environment, manage multiple priorities, and adapt to occasional travel and flexible working arrangements.,

Principal Architect - Platform & Application Architect Experience 15+ years in software/data platform architecture 5+ years in architectural leadership roles Architecture & Data Platform Expertise Education Bachelors/Master’s in CS, Engineering, or related field Title: Principal Architect Location: Onsite Bangalore Experience: 15+ years in software & data platform architecture and technology strategy Role Overview We are seeking a Platform & Application Architect to lead the design and implementation of a next-generation, multi-domain data platform and its ecosystem of applications. In this strategic and hands-on role, you will define the overall architecture, select and evolve the technology stack, and establish best practices for governance, scalability, and performance. Your responsibilities will span across the full data lifecycle—ingestion, processing, storage, and analytics—while ensuring the platform is adaptable to diverse and evolving customer needs. This role requires close collaboration with product and business teams to translate strategy into actionable, high-impact platform & products. Key Responsibilities 1. Architecture & Strategy Design the end-to-end architecture for a On-prem / hybrid data platform (data lake/lakehouse, data warehouse, streaming, and analytics components). Define and document data blueprints, data domain models, and architectural standards. Lead build vs. buy evaluations for platform components and recommend best-fit tools and technologies. 2. Data Ingestion & Processing Architect batch and real-time ingestion pipelines using tools like Kafka, Apache NiFi, Flink, or Airbyte. Oversee scalable ETL/ELT processes and orchestrators (Airflow, dbt, Dagster). Support diverse data sources: IoT, operational databases, APIs, flat files, unstructured data. 3. Storage & Modeling Define strategies for data storage and partitioning (data lakes, warehouses, Delta Lake, Iceberg, or Hudi). Develop efficient data strategies for both OLAP and OLTP workloads. Guide schema evolution, data versioning, and performance tuning. 4. Governance, Security, and Compliance Establish data governance , cataloging , and lineage tracking frameworks. Implement access controls , encryption , and audit trails to ensure compliance with DPDPA, GDPR, HIPAA, etc. Promote standardization and best practices across business units. 5. Platform Engineering & DevOps Collaborate with infrastructure and DevOps teams to define CI/CD , monitoring , and DataOps pipelines. Ensure observability, reliability, and cost efficiency of the platform. Define SLAs, capacity planning, and disaster recovery plans. 6. Collaboration & Mentorship Work closely with data engineers, scientists, analysts, and product owners to align platform capabilities with business goals. Mentor teams on architecture principles, technology choices, and operational excellence. Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 12+ years of experience in software engineering, including 5+ years in architectural leadership roles. Proven expertise in designing and scaling distributed systems, microservices, APIs, and event-driven architectures using Java, Python, or Node.js. Strong hands-on experience with building scalable data platforms on premise/Hybrid/cloud environments. Deep knowledge of modern data lake and warehouse technologies (e.g., Snowflake, BigQuery, Redshift) and table formats like Delta Lake or Iceberg. Familiarity with data mesh, data fabric, and lakehouse paradigms. Strong understanding of system reliability, observability, DevSecOps practices, and platform engineering principles. Demonstrated success in leading large-scale architectural initiatives across enterprise-grade or consumer-facing platforms. Excellent communication, documentation, and presentation skills, with the ability to simplify complex concepts and influence at executive levels. Certifications such as TOGAF or AWS Solutions Architect (Professional) and experience in regulated domains (e.g., finance, healthcare, aviation) are desirable.

Responsibilities: Architectural Leadership: Lead the design and evolution of enterprise-level Java applications, ensuring scalability, reliability, security, and maintainability. Define and enforce architectural standards, patterns, and best practices. Solution Design & Strategy: Translate complex business requirements into technical specifications and architectural blueprints. Evaluate and recommend appropriate technologies, frameworks, and tools to meet project goals. Technical Ownership: Take ownership of the technical design and implementation across the full software development lifecycle, from conception to deployment and ongoing support. Framework Expertise: Leverage extensive experience with the Spring Framework (Spring Boot, Spring Cloud, Spring Data, Spring Security, etc.) and Hibernate/JPA for data persistence. Database Design: Collaborate with database administrators to design efficient and scalable database schemas for both relational (e.g., PostgreSQL, MySQL, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra). Microservices & APIs: Design and implement robust microservices architectures, RESTful APIs, and event-driven systems. Performance & Scalability: Identify and resolve performance bottlenecks, ensuring optimal application performance and scalability under heavy loads. Conduct performance tuning and optimization. Security: Incorporate robust security practices and design patterns into application architecture, ensuring compliance with industry standards and best practices. Code Quality & Standards: Establish and enforce coding standards, perform regular code reviews, and ensure high code quality, testability, and adherence to architectural guidelines. Mentorship & Guidance: Mentor and guide senior and junior developers, fostering a culture of technical excellence, continuous learning, and innovation. Stakeholder Collaboration: Effectively communicate complex technical concepts to non-technical stakeholders, product owners, and other teams. Collaborate closely with cross-functional teams. Technology Evaluation: Research and evaluate new technologies, tools, and frameworks to keep the technology stack modern and competitive. DevOps & CI/CD: Work closely with DevOps teams to define and implement CI/CD pipelines, automated testing, and deployment strategies. Troubleshooting & Support: Provide expert-level technical support and troubleshooting for complex production issues.

Responsibilities: Architectural Leadership: Lead the design and evolution of enterprise-level Java applications, ensuring scalability, reliability, security, and maintainability. Define and enforce architectural standards, patterns, and best practices. Solution Design & Strategy: Translate complex business requirements into technical specifications and architectural blueprints. Evaluate and recommend appropriate technologies, frameworks, and tools to meet project goals. Technical Ownership: Take ownership of the technical design and implementation across the full software development lifecycle, from conception to deployment and ongoing support. Framework Expertise: Leverage extensive experience with the Spring Framework (Spring Boot, Spring Cloud, Spring Data, Spring Security, etc.) and Hibernate/JPA for data persistence. Database Design: Collaborate with database administrators to design efficient and scalable database schemas for both relational (e.g., PostgreSQL, MySQL, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra). Microservices & APIs: Design and implement robust microservices architectures, RESTful APIs, and event-driven systems. Performance & Scalability: Identify and resolve performance bottlenecks, ensuring optimal application performance and scalability under heavy loads. Conduct performance tuning and optimization. Security: Incorporate robust security practices and design patterns into application architecture, ensuring compliance with industry standards and best practices. Code Quality & Standards: Establish and enforce coding standards, perform regular code reviews, and ensure high code quality, testability, and adherence to architectural guidelines. Mentorship & Guidance: Mentor and guide senior and junior developers, fostering a culture of technical excellence, continuous learning, and innovation. Stakeholder Collaboration: Effectively communicate complex technical concepts to non-technical stakeholders, product owners, and other teams. Collaborate closely with cross-functional teams. Technology Evaluation: Research and evaluate new technologies, tools, and frameworks to keep the technology stack modern and competitive. DevOps & CI/CD: Work closely with DevOps teams to define and implement CI/CD pipelines, automated testing, and deployment strategies. Troubleshooting & Support: Provide expert-level technical support and troubleshooting for complex production issues.

Position Summary LLMOps(Large language model operations) Engineer will play a pivotal role in building and maintaining the infrastructure and pipelines for our cutting-edge Generative AI applications, establishing efficient and scalable systems for LLM research, evaluation, training, and fine-tuning. Engineer will be responsible for managing and optimizing large language models (LLMs) across various platforms This position is uniquely tailored for those who excel in crafting pipelines, cloud infrastructure, environments, and workflows. Your expertise in automating and streamlining the ML lifecycle will be instrumental in ensuring the efficiency, scalability, and reliability of our Generative AI models and associated platform. LLMOps engineers expertise will ensure the smooth deployment, maintenance, and performance of these AI platforms and powerful large language models. You will follow Site Reliability Engineering & MLOps principles and will be encouraged to contribute your own best practices and ideas to our ways of working. Reporting to the Head of Cloud Native operations, you will be an experienced thought leader, and comfortable engaging senior managers and technologists. You will engage with clients, display technical leadership, and guide the creation of efficient and complex products/solutions. Key Responsibilities Technical & Architectural Leadership Contribute to the technical delivery of projects, ensuring a high quality of work that adheres to best practices, brings innovative approaches and meets client expectations. Project types include following (but not limited to): Solution architecture, Proof of concepts (PoCs), MVP, design, develop, and implementation of ML/LLM pipelines for generative AI models, data management & preparation for fine tuning, training, deployment, and monitoring. Automate ML tasks across the model lifecycle. Contribute to HCL thought leadership across the Cloud Native domain with an expert understanding of advanced AI solutions using Large Language Models (LLM) & Natural Language Processing (NLP) techniques and partner technologies. Collaborate with cross-functional teams to integrate LLM and NLP technologies into existing systems. Ensure the highest levels of governance and compliance are maintained in all ML and LLM operations. Stay abreast of the latest developments in ML and LLM technologies and methodologies, integrating these innovations to enhance operational efficiency and model effectiveness. Collaborate with global peers from partner ecosystems on joint technical projects. This partner ecosystem includes Google, Microsoft, Nvidia, AWS, IBM, Red Hat, Intel, Cisco, and Dell VMware etc. Service Delivery Provide a technical hands-on contribution. Create scalable infra to support enterprise loads (distributed GPU compute, foundation models, orchestrating across multiple cloud vendors, etc.) Ensuring the reliable and efficient platform operations. Apply data science, machine learning, deep learning, and natural language processing methods to analyse, process, and improve the models data and performance. Understanding of Explainability & Biased Detection concepts. Create and optimize prompts and queries for retrieval augmented generation and prompt engineering techniques to enhance the models capabilities and user experience w.r.t Operations & associated platforms. Client-facing influence and guidance, engaging in consultative client discussions and performing a Trusted Advisor role. Provide effective support to HCL Sales and Delivery teams. Support sales pursuits and enable HCL revenue growth. Define the modernization strategy for client platform and associated IT practices, create solution architecture and provide oversight of the client journey. Innovation & Initiative Always maintain hands-on technical credibility, keep in front of the industry, and be prepared to show and lead the way forward to others. Engage in technical innovation and support HCLs position as an industry leader. Actively contribute to HCL sponsorship of leading industry bodies such as the CNCF and Linux Foundation. Contribute to thought leadership by writing Whitepapers, blogs, and speaking at industry events. Be a trusted, knowledgeable internal innovator driving success across our global workforce. Client Relationships Advise on best practices related to platform & Operations engineering and cloud native operations, run client briefings and workshops, and engage technical leaders in a strategic dialogue. Develop and maintain strong relationships with client stakeholders. Perform a Trusted Advisor role. Contribute to technical projects with a strong focus on technical excellence and on-time delivery. Mandatory Skills & Experience Expertise in designing and optimizing machine-learning operations, with a preference for LLMOps. Proficient in Data Science, Machine Learning, Python, SQL, Linux/Unix shell scripting. Experience on Large Language Models and Natural Language Processing (NLP), and experience with researching, training, and fine-tuning LLMs. Contribute towards fine-tune Transformer models for optimal performance in NLP tasks, if required. Implement and maintain automated testing and deployment processes for machine learning models w.r.t LLMOps. Implement version control, CI/CD pipelines, and containerization techniques to streamline ML and LLM workflows. Develop and maintain robust monitoring and alerting systems for generative AI models ensuring proactive identification and resolution of issues. Research or engineering experience in deep learning with one or more of the following: generative models, segmentation, object detection, classification, model optimisations. Experience implementing RAG frameworks as part of available-ready products. Experience in setting up the infrastructure for the latest technology such as Kubernetes, Serverless, Containers, Microservices etc. Experience in scripting programming to automate deployments and testing, worked on tools like Terraform and Ansible. Scripting languages like Python, bash, YAML etc. Experience on CI/CD opensource and enterprise tool sets such as Argo CD, Jenkins. Experience with the GitHub/DevOps Lifecycle Experience in at least one of the Observability solutions (Prometheus, EFK stacks, ELK stacks, Grafana, Dynatrace, AppDynamics) Experience in at-least one of the clouds for example - Azure/AWS/GCP Significant experience on microservices-based, container-based or similar modern approaches of applications and workloads. You have exemplary verbal and written communication skills (English). Able to interact and influence at the highest level, you will be a confident presenter and speaker, able to command the respect of your audience. Desired Skills & Experience Bachelor level technical degree or equivalent experience; Computer Science, Data Science, or Engineering background preferred; masters degree desired. Experience in LLMOps or related areas, such as DevOps, data engineering, or ML infrastructure. Hands-on experience in deploying and managing machine learning and large language model pipelines in cloud platforms (e.g., AWS, Azure) for ML workloads. Familiar with data science, machine learning, deep learning, and natural language processing concepts, tools, and libraries such as Python, TensorFlow, PyTorch, NLTK etc. Experience in using retrieval augmented generation and prompt engineering techniques to improve the models quality and diversity to improve operations efficiency. Proven experience in developing and fine-tuning Language Models (LLMs). Stay up-to-date with the latest advancements in Generative AI, conduct research, and explore innovative techniques to improve model quality and efficiency. The perfect candidate will already be working within a System Integrator, Consulting or Enterprise organisation with 8+ years of experience in a technical role within the Cloud domain. Deep understanding of core practices including SRE, Agile, Scrum, XP and Domain Driven Design. Familiarity with the CNCF open-source community. Enjoy working in a fast-paced environment using the latest technologies, love Labs dynamic and high-energy atmosphere, and want to build your career with an industry leader.

We are looking for an experienced Python Architect to lead the design and development of scalable, high-performance applications. The ideal candidate will have strong expertise in Python, particularly with Flask or Django frameworks, and a solid background in AWS services including Lambda, ECS, S3, and RDS. You will design microservices and REST APIs while providing architectural leadership and mentoring to the development team. Key Responsibilities: Architect and develop Python-based applications using Flask or Django Design and implement microservices and RESTful APIs Lead cloud deployments leveraging AWS services such as Lambda, ECS, S3, and RDS Provide technical guidance and mentorship to development teams Collaborate with cross-functional teams to ensure scalable and robust solutions Requirements: Strong Python programming skills with hands-on experience in Flask/Django Proficient in AWS cloud services (Lambda, ECS, S3, RDS, etc.) Experience designing microservices and REST APIs Proven ability in architectural leadership and mentoring Location- Remote,Delhi NCR,Bengaluru,Chennai,Pune,Kolkata,Ahmedabad, Mumbai, Hyderabad Education- Preferred degree in Computer Science or related field