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Genentech

Biotech firm creating medicines via R&D

Senior Data Scientist - Gen AI Application

AI Application EngineeringPosted on Nov 11
Full-timeSouth San Francisco, CA, USA

About the Job

Requirements

  • At least 5 years of professional experience in software engineering, machine learning, or generative AI application development, with a bachelor's degree; equivalent combinations of education and experience are accepted, such as a master's degree with 3 years of 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, retrieval-augmented generation, and context management.
  • Proficiency in Python, TypeScript, or a comparable production language, along with experience using agent orchestration frameworks such as LangGraph, LangChain, or custom frameworks.
  • Expertise designing APIs, tool contracts, asynchronous workflows, and integration patterns for scalable systems.

Responsibilities

  • Architect, build, and deploy intelligent AI agents, orchestration workflows, decision logic, and collaboration patterns for complex enterprise applications.
  • Define and implement tool schemas, APIs, permissions, error-handling mechanisms, and human-in-the-loop escalation paths for agentic systems.
  • Optimize agent behavior for accuracy, task-completion reliability, latency, cost efficiency, and end-user experience.
  • Design memory, context-retention, retrieval-augmented generation, and summarization strategies to enhance agent capabilities.
  • Establish 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 Data, Digital, and Analytics organization.

Desired Qualifications

  • Experience with multi-agent architecture systems and inter-agent communication protocols such as A2A and MCP.
  • Experience building and deploying agentic workflows within enterprise platforms or regulated industries, including biotech, pharma, finance, or healthcare.
  • Familiarity with model routing, prompt versioning, fine-tuning, guardrails, and human-in-the-loop workflows.
  • Understanding of cloud environments, including AWS and AWS AgentCore, identity, access management, data privacy, and secure tool execution.
  • Track record translating ambiguous business objectives into reliable technical agent workflows and quantifiable outcomes.

About the Company

Genentech

Biotech firm creating medicines via R&D

Genentech develops medicines and therapies to address unmet medical needs through extensive biotechnology research and development. Its products include biologic and small-molecule treatments prescribed by healthcare providers and sold through partnerships with suppliers and health systems. It differentiates itself with a large R&D footprint, a vast patent portfolio, and FDA Breakthrough Therapy Designations that accelerate promising therapies. Its goal is to advance medical science and deliver high-quality, effective therapies that improve patient health while supporting the broader medical community.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1976

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