Google Data Architect

About the role

The role focuses on designing and delivering end‑to‑end Agentic AI platforms and multi‑agent ecosystems for enterprise customers. You will lead the creation of secure, cloud‑native AI solutions on Google Cloud while ensuring governance and cost efficiency.

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 profile

• 10–15 years of architecture or senior engineering experience with 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.

Required skills

• Multi‑Agent Architecture
• Agent Orchestration
• LLM
• RAG
• Grounding
• MCP
• Knowledge Graphs
• Google ADK
• Vertex AI
• Gemini
• LangGraph
• Microservices