Senior Data Scientist, Gen AI Application

Genentech; San Francisco (CA); Hybrid; USD 177,000 - 329,000; Full time

Job summary

Genentech, based in South San Francisco, seeks a Sr. Data Scientist - Generative AI Applications within the DDA organization. You will design, build, and optimize intelligent agents and agentic workflows that drive measurable business impact across CMG.

You will collaborate with platform engineers and product owners to deliver secure, production-grade GenAI solutions, with hybrid work arrangements and a strong emphasis on responsible AI, memory strategies, and low-latency operation.

Qualifications

• 5+ years of professional experience in software engineering, machine learning, or GenAI application development.
• 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.

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.

Skills

5+ years of experience in software/ML/

Education

Bachelor's degree

Tools

LangGraph

LangChain

Job description

The Position

Why Genentech

We’re passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world’s most complex health challenges and transforming society.

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.
• 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. Benefits

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.