Senior AI/ML Engineer - Remote

UnitedHealth Group•Minnetonka, MN

2d•$91,700 - $163,700•Remote

About The Position

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. In support of AI 10.0 Scaling and leveraging AI to apply processing rules directly from source documentation via enterprise assets, we’re adding resources to our Claim Edit Hub team. This team will work to derive rules/edits directly from source documents (i.e. Policies) and expose them via Agentic workflow to make them accessible in a real time manner. This will also support our “shift left” strategy to enable claim edits/rules to be executed on Trial Claims to provide transparent cost estimates to Providers and Members. 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.

Requirements

Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical field
8+ years of software engineering, AI engineering, or machine learning engineering experience
5+ years of strong Python development experience supporting AI and data-intensive applications
4+ years of hands-on experience developing AI/ML solutions, including Generative AI, LLMs, NLP, and traditional machine learning models
3+ years of experience designing, building, and deploying production-grade LLM applications, RAG pipelines, AI agents, and orchestration workflows
3+ years of experience with AWS AI and cloud-native services including Bedrock, SageMaker, Lambda, OpenSearch, ECS/EKS, and S3
2+ years of experience with vector databases, embeddings, semantic search, and enterprise knowledge retrieval systems
2+ years of experience implementing MLOps, LLMOps, model monitoring, evaluation frameworks, and AI operationalization practices

Nice To Haves

2+ years of hands-on experience with Agentic AI frameworks such as LangGraph, Semantic Kernel, CrewAI, AutoGen, MCP, or AgentCore
Experience implementing multi-agent architectures and autonomous workflow orchestration
Experience with AI evaluation frameworks, hallucination reduction techniques, model benchmarking, and prompt optimization
Familiarity with Knowledge Graphs, Ontologies, GraphRAG, and enterprise knowledge systems.
Experience building reusable AI platform services supporting multiple use cases
Experience implementing Retrieval-Augmented Generation (RAG), prompt engineering, semantic search, and knowledge retrieval systems

Responsibilities

Design, develop, and deploy scalable AI/ML models and automation solutions to solve complex business problems
Build and maintain end-to-end ML pipelines including data ingestion, feature engineering, model training, and deployment
Develop automation frameworks for model training, testing, validation, and monitoring (MLOps)
Collaborate with data science, engineering, product, and business teams to deliver AI-driven solutions
Optimize model performance through continuous evaluation, tuning, and retraining strategies
Ensure scalability, reliability, and governance of AI models including compliance and data integrity
Integrate AI/ML solutions into production systems using CI/CD and cloud platforms
Stay updated with emerging AI/ML technologies and automation best practices to drive innovation