The Opportunity
As a Sr. Data Scientist - Generative AI Applications within Genentech’s Data, Digital, and Analytics (DDA) organization, you will bridge the gap between core AI infrastructure and high-impact business applications across Commercial, Medical, and Government Affairs (CMG). In this high-visibility role, you will design, build, and optimize intelligent agents and agentic workflows that reason, utilize complex tools, and automate intricate multi-step business processes. You will collaborate closely with platform engineers and business product owners to deliver seamless, reliable, and user-centric GenAI solutions that drive measurable business impact.
- 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.
Who you are
- 5+ years of professional experience in software engineering, machine learning, or GenAI application development with a Bachelors' degree.
- Equivalent years of experience and education ( ex: Masters + 3 years work experience)
- Hands-on experience designing, building, and deploying LLM-powered agents or agentic workflows in production environments.
- Strong working knowledge of prompting techniques, tool calling, structured outputs, planning mechanisms, RAG, and context management.
- Proficiency in Python, TypeScript, or a comparable production language, alongside experience with agent orchestration frameworks (e.g., LangGraph, LangChain, or custom frameworks).
- Demonstrated expertise designing APIs, tool contracts, asynchronous workflows, and integration patterns for scalable systems.
Preferred
- Experience with multi-agent architecture systems and inter-agent communication protocols (e.g., A2A, MCP).
- Experience building and deploying agentic workflows within enterprise platforms or regulated industries (biotech, pharma, finance, or healthcare).
- Familiarity with model routing, prompt versioning, fine-tuning, guardrails, and human-in-the-loop workflows.
- Strong understanding of cloud environments (AWS, AWS AgentCore), identity, access management, data privacy, and secure tool execution.
- Proven track record translating ambiguous business objectives into reliable technical agent workflows and quantifiable outcomes.
Location
- This role is based in South San Francisco and offers a hybrid schedule working 3 day per week on campus
- No relocation benefits are available for this posting
The expected salary range for this position based on the primary location of CA is $177,310 - $329,290 . Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
