Senior Data Scientist, Gen AI Foundation

GenentechDaly City, CA
$177,310 - $329,290Hybrid

About The Position

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.

Requirements

  • Bachelor's degree and 5+ years of experience in a relevant field.
  • 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.
  • 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.
  • 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.
  • Comprehensive mastery of observability tools for agentic systems, with a focus on optimizing the critical trade-offs between cost, reliability, and latency.

Nice To Haves

  • 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.

Responsibilities

  • Design and build an extensible, multi-agent infrastructure and the foundational systems required to transform traditional services into high-performing agentic components.
  • Establish robust governance frameworks for agents and data sources, ensuring all infrastructure meets stringent security, observability, and compliance standards (Genentech/Roche).
  • Stay at the forefront of Generative AI infrastructure and security, proactively integrating emerging technologies to maintain a competitive edge within a complex enterprise environment.
  • Influence key technical decisions and priorities, balancing high-level business goals with the need for scalable, reliable AI systems.
  • 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.
  • 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.
  • Maintain a respectful, collaborative team culture while surfacing systemic issues to leadership and ensuring strict adherence to all laws, regulations, and corporate policies.

Benefits

  • A discretionary annual bonus may be available based on individual and Company performance.
  • 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.
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