Principal AI / Machine Learning Data Engineer - Remote or hybrid from MN or DC

About this role

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start
Caring. Connecting. Growing together.
The Enterprise Information Security (EIS) team is responsible for cybersecurity across our organization. We support our business and members by reducing risk, rapidly responding to threats, focusing on business resiliency and securing new acquisitions.


The Principal AI Data Engineer will design and build end-to-end AI pipelines for large-scale unstructured data, enabling advanced analytics, Generative AI, and investigative insights.


This role will transform raw, complex datasets-such as scanned documents, images, PRFs and other OCR- driven unstructured data sources-into AI-ready, searchable, and model-integrated data products. You will play a key role in building LLM-powered systems (e.g., RAG, semantic search, summarization, and insight extraction) and scaling them into production environments.


This position sits at the intersection of data engineering and AI, with an emphasis on building modern data pipelines and enabling production-grade AI capabilities.


You'll enjoy the flexibility to work remotely \* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.


Primary Responsibilities

• Design, develop, and maintain scalable data pipelines and data platforms supporting analytics, machine learning, and AI use c...