Lead AI / ML Engineer - Remote
Company: Optum
Location: Minnetonka, MN (Remote)
Salary: $112,700 - $193,200 a year
Type: Full-time
Remote: Yes
Posted: 2026-05-20
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.
This role is a senior, hands‑on AI/ML engineering position focused on building, enhancing, and integrating Machine Learning and Generative AI solutions within Databricks.
Working in office if based in MSP or DC
Primary Responsibilities:
- Designing and implementing ML models
- Creating custom embeddings
- Building RAG pipelines
- Implementing vector databases
- Developing agentic workflows with LangChain
- Integrating AI into enterprise applications for Claims Payment Integrity (PI)
- The role partners closely with Data Scientists, Product Teams, and Platform Teams to deploy AI-driven intelligence across PI use cases
- Contribute to experimentation with novel ML and Generative AI architectures
- Create and maintain embedding models (domain-specific embeddings, document/text embeddings)
- Support Retrieval‑Augmented Generation (RAG) solutions, including semantic search, vector databases, and LLM integration
- Help design and implement AI‑powered enterprise applications
- Analyze large datasets to identify trends, patterns, and actionable insights
- Partner with AI/ML Engineers and Leads to enhance existing models and improve model accuracy and performance
- Optimize AI pipelines for scalability, performance, reliability, and cost efficiency
- Integrate AI/ML solutions into enterprise systems by partnering closely with data engineering, product, and platform teams
- Collaborate effe...