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Infosys’s Strategic Technology Group seeks a Senior Technologist to design scalable architectures for GenAI and agent ecosystems. You will lead cross-functional efforts, mentor teams, and deliver reusable components and PoCs for emerging technologies.
The role emphasizes hands-on engineering, architectural governance, and collaboration with data scientists, software engineers, and product managers in a fast-paced, agile environment.
The Strategic Technology Group (STG) unit at Infosys is designed for power programmers and senior technologists who want to go beyond traditional development roles and take on complex, large-scale technology challenges.
The Strategic Technology Group (STG) unit at Infosys is designed for power programmers and senior technologists who want to go beyond traditional development roles and take on complex, large-scale technology challenges.
The STG unit brings together Specialist Programmers, Senior Technologists, and Technical Leaders who possess deep expertise across software design and development, cloud-native architectures, enterprise platforms, data engineering, and emerging technologies, including generative AI and agentic AI.
Members of the STG unit play a strategic role in shaping technology direction, solving complex business challenges, and delivering resilient, high-quality outcomes. They are expected to demonstrate strong technical depth, sound architectural judgment, and hands-on leadership, while mentoring teams and influencing best practices across programs.
The STG unit emphasizes software development excellence, innovation, and continuous upskilling. It offers experienced talent the opportunity to work on transformational initiatives, engage closely with stakeholders, and grow as trusted technology leaders within Infosys' global delivery ecosystem.
The ability to apply expertise in designing scalable architectures and frameworks for complex technology challenges. Bring a strategic mindset to building reusable components and ensuring high-quality, defect-free delivery. Share knowledge and passion for mentoring by guiding peers and fostering technical excellence across projects. The ability to assess and adopt emerging technologies, translate them into PoCs and deployment ready solutions. Drive performance improvements through advanced engineering practices, meeting demanding service benchmarks. A knack for anticipating risks and resolving technical challenges, ensuring resilience and long-term project success.
Experience in core development, with strong architecture and engineering knowledge with hands-on experience designing LLM-powered applications, AI agents, multi-agent systems, agent orchestration, Model Context Protocol (MCP) integrations, reusable AI Skills, Managed Agents, and Retrieval-Augmented Generation (RAG) solutions.
Proficiency in Python, FastAPI, LangChain and working experience AI Cloud Services like Azure AI Services, OpenAI.
Define the end-to-end architecture for enterprise GenAI and Agentic AI solutions
Design single-agent and multi-agent architectures, including orchestration, routing, delegation, handoffs, collaboration, and human-in-the-loop patterns
Design Model Context Protocol (MCP) integration architectures that securely expose enterprise data, APIs, tools, and capabilities to AI agents.
Define reusable Skills, tools, prompts, and agent capabilities that can be shared across multiple agents and business use cases.
Design solutions using Managed Agents / hosted agents and enterprise AI platform
Evaluate and recommend frameworks such as LangGraph, LangChain, AutoGen, Semantic Kernel, or equivalent agent orchestration frameworks.
Establish architectural controls for guardrails, security, observability, logging, tracing, governance, auditability, and responsible AI
Take ownership of individual stages of the AI development lifecycle (data pre-processing, model training, evaluation, optimization, or deployment) and understand how they connect end to end.
Collaborate with data scientists, software engineers, and product managers to understand project requirements, and flag technical feasibility concerns early.
Stay curious about advancements in generative AI research and share learnings with the team.
Follow and promote responsible AI practices, with awareness of bias mitigation, fairness, and traceability.
Participate in code reviews, both receiving feedback and reviewing peers’ code, to help maintain quality standards.
Support POCs for new technologies, taking responsibility for defined parts of the work.
Comfortable working in a fast-paced and agile environment.
Good collaboration and communication skills.
Master's degree in computer science, Artificial Intelligence, or a related field (or equivalent experience).
Experience in cloud-based platforms like Azure & Microsoft / Azure AI services
Experience in Fine tuning Open-Source AI Models
Strong understanding of one or more Domain expertise and associated Industry standards
Industry-acclaimed External Certifications, if applicable
Active participation in Technology forums
Contribution to Open-Source Community.
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.