Data Scientist, Principal - AI Product Engineering

Blue Shield of CaliforniaOakland, CA
$181,800 - $272,700Hybrid

About The Position

The AI & Machine Learning team works in partnership across the enterprise to accelerate business outcomes by applying AI, machine learning, and generative AI to build intelligent products that create “intelligence at scale.” Reporting to the Director, AI & Machine Learning, the Data Scientist, Principal will lead the development and deployment of novel applications that leverage generative AI models. This role focuses on rapidly developing new features and working across partner teams to deliver solutions and maximize impact, translating cutting-edge AI research into real-world products and taking features from 0 to 1. You will design, build, and ship production-grade AI products including LLM-powered applications, AI agents and copilots, retrieval-augmented generation (RAG) and search, and AI-enabled automation embedded directly into customer-facing applications and enterprise workflows such as claims, payment integrity, clinical insights, and member experience. You will set the technical direction for how AI is applied across the organization. Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow – personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.

Requirements

  • External hires must pass a background check/drug screen.

Nice To Haves

  • Creative and critical thinking
  • Building and sustaining high-performing teams
  • Getting results the right way
  • Fostering continuous learning

Responsibilities

  • Lead the development and deployment of novel applications that leverage generative AI models.
  • Rapidly develop new features and work across partner teams to deliver solutions and maximize impact.
  • Translate cutting-edge AI research into real-world products and take features from 0 to 1.
  • Design, build, and ship production-grade AI products including LLM-powered applications, AI agents and copilots, retrieval-augmented generation (RAG) and search, and AI-enabled automation embedded directly into customer-facing applications and enterprise workflows.
  • Set the technical direction for how AI is applied across the organization.
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