C
Capgemini Engineering
Agentic AI Architect-D
Skills
AIAzure
1 month ago
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Important information
Contract type:
Permanent
Location:
Gurugram, Haryana, India
Work mode:
Onsite
Published on:
17 September 2026
What they need
- 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.
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