Senior Data Scientist, Gen AI Application

F. Hoffmann-La Roche AG; South San Francisco (CA); Hybrid; USD 177,310 - 329,290; Full time

Job summary

Genentech, a Roche company, is seeking a Sr. Data Scientist – Generative AI Application Specialist in South San Francisco, CA. The role designs agentic systems, builds multi-agent business apps, and drives AI innovation in a hybrid environment with campus presence three days a week.

You will collaborate across UX and infrastructure, mentor on AI literacy, and influence strategic tech priorities for a global enterprise, while ensuring regulatory compliance.

Qualifications

• Bachelor's degree and 5+ years of relevant experience.
• Minimum 3+ years of experience building B2B Generative AI products, focusing on agentic design trade-offs, prompting, and data handling.
• Mastery of RAG architecture (including chunking optimization), vector/graph databases, reranking algorithms, and multi-modal application development.
• Hands-on experience with agentic frameworks (LangChain, LangGraph, AWS AgentCore), MCP/A2A protocols, and modern UI tools like React, Angular, or Figma.
• Expert-level command of observability tools and evaluation methodologies to manage cost, reliability, latency, and performance in agentic systems.
• Advanced SQL proficiency (including AI-generated SQL) and the ability to translate complex technical analyses for non-technical stakeholders.
• Experience with multimodal Gen AI tools, especially voice, and UI design for enterprise software.
• Experience in security common protocols and the healthcare, pharmaceutical, or highly regulated industries.
• Proven ability to influence technical priorities and manage partnerships within a large-scale, global corporate structure.
• Experience with emerging standards such as MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocols.
• Familiarity with front-end design workflows (Figma) to translate AI capabilities into intuitive user interfaces.
• Experience leading “fail-forward” initiatives, prioritizing rapid prototyping and business-value trade-offs.

Responsibilities

• Architect agentic systems: Design and build multi-agent business applications using an extensible infrastructure in a large-scale enterprise setting.
• Drive technical innovation: Stay at the forefront of Generative AI and multi-agent systems, integrating cutting-edge models and capabilities to maintain a competitive edge.
• Collaborate on UX & infrastructure: Partner with product owners and infrastructure teams to bridge capability gaps and align technical development with user experience goals.
• Strategic leadership & influence: Shape technical priorities and decision-making processes across the team while identifying systemic issues for senior leadership.
• Global brand ambassadorship: Represent the team’s interests and expertise across the broader Genentech and global Roche organizations.
• Cultivate AI literacy: Act as a technical coach to stakeholders and peers, elevating the organization’s AI savviness through mentorship and knowledge sharing.
• Maintain operational excellence: Manage high-stakes internal and external partnerships while ensuring strict adherence to global compliance and regulatory standards.

Skills

Generative AI

Agentic design

LangChain

LangGraph

AWS AgentCore

UI Frontend

Observability

SQL Proficiency

Multimodal AI

Regulatory compliance

MCP/ A2A protocols

Figma

Education

Bachelor's degree

Tools

React

Angular

Figma

Job description

About Genentech

Genentech is a member of the Roche group and a pioneer in the biotechnology industry. We are dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life‑threatening diseases. Our mission is to transform society by innovating solutions to complex health challenges.

Opportunity

The Sr. Data Scientist – Generative AI Application Specialist will build foundational agentic capabilities and high‑level business applications within a fast‑moving, experimental environment. The role bridges technical infrastructure and user experience, collaborating with infrastructure teams to design agents and partnering with product owners to ensure optimal development approaches for desired UX.

Responsibilities

• Architect agentic systems: Design and build multi‑agent business applications using an extensible infrastructure in a large‑scale enterprise setting.
• Drive technical innovation: Stay at the forefront of Generative AI and multi‑agent systems, integrating cutting‑edge models and capabilities to maintain a competitive edge.
• Collaborate on UX & infrastructure: Partner with product owners and infrastructure teams to bridge capability gaps and align technical development with user experience goals.
• Strategic leadership & influence: Shape technical priorities and decision‑making processes across the team while identifying systemic issues for senior leadership.
• Global brand ambassadorship: Represent the team’s interests and expertise across the broader Genentech and global Roche organizations.
• Cultivate AI literacy: Act as a technical coach to stakeholders and peers, elevating the organization’s AI savviness through mentorship and knowledge sharing.
• Maintain operational excellence: Manage high‑stakes internal and external partnerships while ensuring strict adherence to global compliance and regulatory standards.

Qualifications

• Bachelor's degree and 5+ years of relevant experience.
• Minimum 3+ years of experience building B2B Generative AI products, focusing on agentic design trade‑offs, prompting, and data handling.
• Mastery of RAG architecture (including chunking optimization), vector/graph databases, reranking algorithms, and multi‑modal application development.
• Hands‑on experience with agentic frameworks (LangChain, LangGraph, AWS AgentCore), MCP/A2A protocols, and modern UI tools like React, Angular, or Figma.
• Expert‑level command of observability tools and evaluation methodologies to manage cost, reliability, latency, and performance in agentic systems.
• Advanced SQL proficiency (including AI‑generated SQL) and the ability to translate complex technical analyses for non‑technical stakeholders.
• Experience with multimodal Gen AI tools, especially voice, and UI design for enterprise software.
• Experience in security common protocols and the healthcare, pharmaceutical, or highly regulated industries.
• Proven ability to influence technical priorities and manage partnerships within a large‑scale, global corporate structure.
• Experience with emerging standards such as MCP (Model Context Protocol) and A2A (Agent‑to‑Agent) protocols.
• Familiarity with front‑end design workflows (Figma) to translate AI capabilities into intuitive user interfaces.
• Experience leading “fail‑forward” initiatives, prioritizing rapid prototyping and business‑value trade‑offs.

Location & Compensation

This position is based in South San Francisco, CA and offers a hybrid schedule: three days per week on campus. Relocation benefits are not available for this posting. The expected salary range is $177,310–$329,290, based on the primary location. Additional compensation may include a discretionary annual bonus and benefits specified at the company benefits page.

Benefits & EEO Statement

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.