Design and structure "prompt-aware" content to ensure AI agents provide accurate, empathetic responses, determining when deterministic context vs. LLM reasoning is required. Organize, tag with metadata, and chunk internal data to optimize Retrieval-Augmented Generation (RAG) and semantic search systems. Analyze failed agent runs and awkward handoffs to identify context gaps, implementing real-time fixes to the agent knowledge base.
Partner across Product, Legal, and Brand teams to harvest and translate functional knowledge into structured formats digestible by AI agents. Define durable, long-term user experience strategies across multiple teams, drive cross-functional alignment on complex/open-ended challenges, and mitigate unintentional harm in agentic ecosystems.
Job description provided by Google.
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