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Capgemini Engineering

Agentic AI Architect-D

Gurgaon, IN

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hirly's read of this role

Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
27 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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.
Original posting on Capgemini Engineering's site ↗

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