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JAVA AGENTIC AI TECH LEAD

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Onsite

JAVA AGENTIC AI TECH LEAD

Capgemini

JAVA AGENTIC AI TECH LEAD

Skills

JavaMicroservicesSpring BootAIAWSAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

11 August 2026

What they need


Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where you ll be able to reimagine what s possible. Join us and help the world s leading organizations

Your Role

  • 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 strong 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

Your Profile

  • Strong hands-on experience with Java (Java 11+)
  • Spring Boot, Spring MVC, Spring Security
  • Microservices and distributed systems
  • REST APIs, JSON, OAuth2/JWT
  • Hands-on experience with LLMs and GenAI frameworks
  • RAG architectures, embeddings, vector databases (Pinecone, FAISS, Azure AI Search, etc.)
  • Prompt engineering and AI workflow design
  • Understanding of AI ethics, data privacy, and model limitations
  • Cloud platforms: AWS Or Azure

What you''ll love about working here

  • You can shape your with us.
  • You will have the on one of the industry''s largest digital learning platforms, with access to 250,000+ courses and numerous certifications

The Group reported 2024 global revenues of 22.1 billion.

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