The Opportunity

The Senior Data Scientist, GenAI Foundation supports back-end product development and is a critical technical role focused on building and scaling the next generation of agentic infrastructure within Genentech. This role drives the development of extensible multi-agent systems, ensuring robust governance and the transformation of traditional services into advanced agentic components. As a key technical influencer, you will stay at the forefront of Generative AI infrastructure, security, and observability, fostering deep collaborations across the global Roche organization to deliver innovative AI solutions that solve complex healthcare challenges.

• Scalable Infrastructure Development: Design and build an extensible, multi-agent infrastructure and the foundational systems required to transform traditional services into high-performing agentic components.

• Enterprise Governance & Security: Establish robust governance frameworks for agents and data sources, ensuring all infrastructure meets stringent security, observability, and compliance standards (Genentech/Roche).

• Technical Innovation & Scouting: Stay at the forefront of Generative AI infrastructure and security, proactively integrating emerging technologies to maintain a competitive edge within a complex enterprise environment.

• Strategic Technical Leadership: Influence key technical decisions and priorities, balancing high-level business goals with the need for scalable, reliable AI systems.

• Cross Functional Partnership: Proactively partner with cross-functional business units and global Roche stakeholders to integrate agentic solutions into broader digital strategies and foster a unified, data-driven ecosystem.

• Collaborative AI Advocacy: Support the organization’s collective technical maturity, mentoring peers and stakeholders to build a shared "AI-savvy" culture rooted in psychological safety, high-connectedness, and iterative innovation.

• Operational Integrity: Maintain a respectful, collaborative team culture while surfacing systemic issues to leadership and ensuring strict adherence to all laws, regulations, and corporate policies.

Who You Are

• Bachelor's degree and 5+ years of experience in a relevant field.

• Architectural Mastery & RAG: Expert-level command of RAG architectures and document optimization (chunking), supported by deep proficiency in vector and graph databases, SQL, and AI-generated SQL techniques.

• Frameworks & Agentic Protocols: Hands-on experience with LLM frameworks (LangChain, LangGraph, AWS Agentcore) and a mastery of Gen AI tools, including MCP and A2A protocols for seamless system communication.

• System Transformation & Integration: Proven ability to stay on the cutting edge of multimodal architectures, with the specific technical skill to transform traditional ML models and API services into agentic, MCP-compliant tools.

• Observability & Performance Engineering: Comprehensive mastery of observability tools for agentic systems, with a focus on optimizing the critical trade-offs between cost, reliability, and latency.

Preferred

• Experience in building infrastructure for Gen AI products in B2B environments.

• Experience with multimodal Gen AI tools, especially voice-based interfaces.

• Experience in security common protocols.

• Experience in the healthcare, pharmaceutical, or highly regulated industries.

This position is based in South San Francisco, CA and offers a hybrid schedule working 3 days per week on campus.

Relocation benefits are not available for this posting.

The expected salary range for this position based on the primary location of South San Francisco, 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.