Agent AI Architect

Role: Engineer. Skills: Artificial Intelligence. Experience: 10 - 15 Years. Qualification: Bachelor Of Technology

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.