Agent AI Architect
TCS · Delhi
Source and collection record
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Employer requisition: 434228
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Collected role description
Agent AI Architect Key Responsibilities · Architect end-to-end Agentic AI platforms and multi-agent ecosystems. · Define orchestration, reasoning, memory, planning, RAG, MCP and tool-integration patterns. · Design secure cloud-native solutions using Vertex AI, Cloud Run, GKE, Cloud Spanner and Vector Search. · Establish AI governance, guardrails, observability, security, compliance and cost controls. · Translate business requirements into architecture and design-ready documentation. · Lead architecture reviews, technical decisions and stakeholder discussions across business and engineering teams. Required Skills & Experience · 10–15 years of architecture or senior engineering experience, including strong AI solution architecture exposure. · Expertise in multi-agent architecture, agent orchestration, LLMs, RAG, grounding, MCP and knowledge graphs. · Hands-on knowledge of Google ADK, Vertex AI, Gemini an d GCP services. · Experience with LangGraph, LangChain, AutoGen, CrewAI and microservices architecture. · Strong ability to define secure, scalable and governed production architectures. </p
Collected minimum qualification
BACHELOR OF TECHNOLOGY
Collected experience requirement
10 - 15 Years