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
Requirements
Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field
