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Job Description
- Serve as a team lead and developer within the strategic AI partner for AI applications, working with the partner’s own teams to transition from rapid prototypes to production-grade, replicable agentic workflows (multi-agent systems, MCP servers) that drive measurable ROI.
- Build high-performance evaluation pipelines and observability frameworks to ensure partner developed agentic systems meet requirements for accuracy, safety, and latency.
- Identify repeatable partner and field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
- Cobuild with strategic AI partner’s own Forward Deployed Engineering teams to instill Google-grade development best practices, ensuring long-term project success and end-user adoption.
- Help partners to build their own agentic delivery capabilities to set them up for long-term success, focusing on the ROI at customer engagements ensuring customer activation.