Gemini AI Architect

Solution IT Inc. is looking for Gemini AI Architect for one of its clients in San Ramon, CA

Job Title: Gemini AI Architect

Required Skills:

• 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. You understand why this determines whether governance is real.
• Proficient in Python; comfortable with Go or an equivalent second language.
• Experience with MCP - building servers, not only consuming them.
• Solid cloud-native and systems fundamentals, with Google Cloud Platform strongly preferred (Cloud Run, GKE, Vertex AI, networking, IAM).
• Cost awareness at scale - token and inference spend management across a growing agent estate.

Work Site: San Ramon, CA (Hybrid 3 days onsite)

Duration: Long-term

Expected Start Date: Immediate