Job Description
Solid 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.
Robust 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.
Robust communication, stakeholder management, and technical leadership skills.
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📌 Agentic Ai Architect D Gurugram
🏢 Capgemini
📍 Gurugram