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Agentic AI Architect-D
Capgemini Engineering · Gurgaon, IN
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Job Description
- Strong hands-on experience in Multi-Agent Architectures, Agentic Workflows, Agent Orchestration, Agent Memory Patterns, Planning and Reflection Frameworks, Agent Evaluation Frameworks, Agent Guardrails and Safety Controls
- Hands-on implementation experience with LangGraph, LangChain, Google ADK, MCP (Model Context Protocol), A2A Protocol, Tool Calling Frameworks
- Experience working with Bedrock-hosted models (preferred) or Azure OpenAI.
- Strong understanding of RAG architectures and enterprise knowledge systems. Experience with vector databases such as Chroma and Weaviate.
- Knowledge of embeddings, semantic search, retrieval optimization, and contextual AI patterns.
- Experience building production-grade Agentic AI platforms.
- Knowledge of AgentOps, AI observability, and AI governance frameworks.
- Experience designing scalable enterprise AI solutions integrated with business applications and external systems.
- Exposure to security controls and responsible AI implementation practices.
- Strong communication, stakeholder management, and technical leadership skills.