Role: Agent AI Architect

Experience: 10+ Years

Location: Hyderabad , Delhi NCR , Bengaluru , Chennai

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 solid 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 and GCP services.
- Experience with LangGraph, LangChain, AutoGen, CrewAI and microservices architecture.
- Strong ability to define secure, scalable and governed production architectures.

Thanks & Regads,

Subhrasatabdi Pati

📌 Agent AI Architect (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad