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Job Description
- Lead global technical engagements, designing core agent architectures—including reasoning, toolsets, and guardrails—for production-ready enterprise deployments.
- Optimize complex RAG pipelines and prompt chains while integrating non-deterministic LLM outputs with deterministic systems like Salesforce and SAP.
- Oversee enterprise-grade evaluation pipelines using "gold datasets" and LLM-as-a-judge methodologies to ensure high accuracy and brand safety.
- Act as a critical feedback loop for Google Cloud Product and Engineering teams, shaping the AI portfolio through field intelligence.
- Design scalable data ingestion pipelines and author global architectural patterns while providing technical mentorship and code reviews.