· 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.
About the roleSource: Tata Consultancy Services careers — Read the original posting and apply
This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.
Tata Consultancy Services is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official com... Read More
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