Senior Data Scientist, Gen AI Application

Genentech develops solutions to improve patient lives and address complex health challenges. The Senior Data Scientist, Generative AI Applications will design, build, optimize, and deploy intelligent agents and agentic workflows for enterprise applications across Commercial, Medical, and Government Affairs, collaborating with engineering and business teams to deliver reliable GenAI solutions.

Responsibilities:

• Architect, build, and deploy intelligent AI agents, orchestration workflows, decision logic, and collaboration patterns for complex enterprise applications
• Define and implement robust tool schemas, APIs, permissions, error-handling mechanisms, and human-in-the-loop escalation paths for agentic systems
• Optimize agent behavior across key metrics including accuracy, task completion reliability, latency, cost efficiency, and end-user experience
• Design effective memory, context retention, retrieval-augmented generation (RAG), and summarization strategies to enhance agent capabilities
• Establish comprehensive evaluation frameworks, observability metrics, synthetic test scenarios, and trace analyses to diagnose failure modes and prevent hallucinations
• Partner with application engineers, platform teams, and business product managers to integrate agentic systems into secure, production-grade enterprise environments
• Standardize agent development patterns, guardrails, and best practices across the DDA organization