Lead the definition and execution of engineering standards and "no-regression" release gates to ensure exceptional response accuracy, safety, and brand alignment. Build the core logic for multimodal agents that execute complex reasoning to serve various business needs across functions like sales, support, and finance. Develop automated meta-layers that allow agents to iteratively build, test, and refine other agents, transforming development into a precise engineering artifact.
Embed Gemini and Vertex AI intelligence directly into enterprise infrastructure and collaborate with partner teams like Google DeepMind to shape foundational agent frameworks. Use data-driven analysis and evaluation pipelines to continuously improve model performance, optimize prompts, and reduce hallucinations.
Job description provided by Google.
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