Architect and develop reusable generative media solutions, vertical-specific templates, and a library of technical assets (code repositories, cookbooks) to accelerate adoption. Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g. multi-agent systems, MCP servers) that drive measurable ROI. Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency. Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for Engineering teams.
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