Agent AI Architect

Role: Agent AI Architect
Experience: 10+ Years
Location: Hyderabad , Delhi NCR , Bengaluru , Chennai
Job Description:
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 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

Work arrangement
No