Drive 0-to-1 technical engagements, designing agent reasoning and guardrails while personally refining retrieval-augmented generation (RAG) pipelines, prompt chains, and application programming interface (API) integrations.
Design evaluation pipelines using "gold datasets" and automated "judge" LLM frameworks to benchmark latency, accuracy, and brand fidelity.
Bridge non-deterministic LLM outputs with deterministic systems like Salesforce and ServiceNow to ensure safe, reliable, and mission-critical operations.
Deploy and stress-test pre-GA features in real-world environments, providing field intelligence to influence Google cloud product and development roadmaps.
Author architectural patterns and prompt development guides while implementing ingestion pipelines for conversational data using Gemini and Vertex AI.

Technical Solutions Consultant, Agent Assist, Applied AI

Job Description