Gemini AI Architect

Role: Gemini AI Architect Location : San Ramon, CA n 10+ years in software engineering and architecture, with 3+ years designing and running applied AI systems in production.Proven experience as the architectural owner of an enterprise platform — you have set standards that other teams had to follow, and made them stick.Hands-on with Google Gemini Enterprise and ADK, or a directly comparable enterprise agent platform, including agent runtime, registration, identity and observability.Deep experience with multi-agent systems in production — orchestration, routing, tool use, memory, human-in-the-loop — with real operational ownership rather than prototype work.Strong grounding in RAG and retrieval architecture: vector stores, embedding models, chunking strategy, hybrid search, and the difference between retrieval that works in a demo and retrieval that works across a messy enterprise estate.Identity and access depth. OAuth2, SAML, RBAC, token exchange, service-account versus end-user credential propagation, and document-level ACL mapping from source systems into a retrieval layer. e. Nice to H

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