- Lead design and development of scalable Java-based applications using Spring Boot and Microservices architecture

- Own and drive end-to-end system architecture, including design decisions, trade-offs, and governance

- Lead legacy modernization and transformation initiatives, including cloud migration and re-architecture programs

- Maintain solid hands-on involvement in coding, including code reviews, refactoring, debugging, and performance optimization

- Integrate Generative AI capabilities across the SDLC (design, development, testing, and code review)

- Design and implement enterprise-grade GenAI solutions leveraging LLMs and AI frameworks

- Build AI-native systems using RAG, vector databases, agentic workflows, and orchestration frameworks (e.g., LangChain,



Semantic Kernel)

- Establish reusable patterns and architectures for GenAI adoption beyond tools like Copilot

- Define and enforce enterprise guardrails, including security, responsible AI, observability, and DevOps practices

- Drive engineering excellence and standardization across teams

- Mentor developers and architects, enabling organization-wide adoption of AI and modern engineering practices

- Collaborate with cross-functional teams to translate business requirements into scalable technical solutions

📌 JAVA GEN AI - Capgemini (Bengaluru)
🏢 Capgemini
📍 Bengaluru