Senior Data Scientist, Gen AI Application

The Opportunity

The Sr. Data Scientist - Generative AI Application Specialist is responsible for building fundamental agentic capabilities and high-level business applications within a fast-moving, experimental environment. This role bridges the gap between 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.

Who You Are

• Bachelor's degree and 5+ years of experience in a relevant field.
• Gen AI Product Expertise: Minimum 3+ years of experience building B2B Generative AI products, specifically focusing on agentic design trade-offs, prompting, and data handling.
• Advanced AI Architecture: Mastery of RAG architecture (including chunking optimization), vector/graph databases, reranking algorithms, and multi-modal application development.
• Framework & Tool Proficiency: Hands-on experience with agentic frameworks (LangChain, LangGraph, AWS Agentcore), MCP/A2A protocols, and modern UI tools like React, Angular, or Figma.
• Systems Optimization & Observability: Expert-level command of observability tools and evaluation methodologies to manage cost, reliability, latency, and performance in agentic systems.
• Tech Communication & Data Skills: Advanced SQL proficiency (including AI-generated SQL) and the ability to translate complex technical analyses for non-technical stakeholders.
• Preferred Multimodal Tools: Experience with multimodal Gen AI tools, especially as voice.
• UI Design: Experience designing UI for enterprise software.
• Security Protocols: Experience in security common protocols.
• Industry Experience: Experience in the healthcare, pharmaceutical, or highly regulated industries.
• Enterprise Navigation: Proven ability to influence technical priorities and manage partnerships within a large-scale, global corporate structure.
• Advanced Protocols: Hands-on experience with emerging standards like MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocols.
• Prototyping & UX: Familiarity with front-end design workflows (Figma) to ensure AI capabilities translate into intuitive user interfaces.
• Resilience & Risk Management: Experience leading "fail-forward" initiatives where rapid prototyping and business-value trade-offs are prioritized.

Qualifications

• Experience in the healthcare, pharmaceutical, or highly regulated industries.
• Proven ability to influence technical priorities and manage partnerships within a large-scale, global corporate structure.
• Hands-on experience with emerging standards like MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocols.
• Familiarity with front-end design workflows (Figma) to ensure AI capabilities translate into intuitive user interfaces.
• Experience leading "fail-forward" initiatives where rapid prototyping and business-value trade-offs are prioritized.

Pay

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.

Schedule

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