Build reusable data-to-AI solutions, architectures, and accelerators with partners on Google Cloud. Design and implement governed semantic layers and enterprise ontologies connecting BigQuery Graph, Conversational Analytics Agents, Looker, and Google Cloud Knowledge Catalog Custom Aspects to ground enterprise AI agents in verified business definitions. Validate Gemini Enterprise plugins, remote Model Context Protocol.
(MCP) servers, and reusable agent skills that integrate Google Data Cloud services with third-party enterprise systems. Develop internal AI-assisted validation tools, evaluation rubrics, and automated architectural review workflows that scale Partner Engineering quality and turnaround velocity across partner engagements. Lead technical onboarding for Data and AI launches, developing implementation guides, code assets, and enablement materials.
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