Sr. AI/ML Engineer - Remote

UnitedHealth Group•Eden Prairie, MN

1d•$120,100 - $214,500•Remote

About The Position

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. We are seeking a hands-on Senior AI/ML Engineer (IC) to join our AI Transformations team within Optum Technology. In this remote role, you will design, build, and deploy scalable AI solutions across the enterprise, focusing on deep technical execution and solving complex business problems using Data Science, Classical ML, NLP, and Generative AI. Working across the full AI lifecycle—from ideation to production - you will partner with engineers, product teams, and business stakeholders to translate use cases into high-impact AI solutions. You will have the opportunity to build advanced capabilities like agentic workflows, multi-step orchestration, and Retrieval-Augmented Generation (RAG) pipelines to drive strategic enterprise transformations. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.

Requirements

8+ years of software engineering experience
2+ years of experience in AI/ML project implementation, covering the end-to-end lifecycle from ideation to production deployment
Demonstrated professional experience writing production-grade Python code
Experience with classical AI/ML algorithms and techniques (e.g., regression, classification, clustering, ensemble models like Random Forest or XGBoost)
Hands-on experience with Natural Language Processing (NLP) tasks (e.g., embeddings, Named Entity Recognition (NER), or text classification)
Experience with Generative AI frameworks, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and model APIs
Driver’s License and access to a reliable transportation

Nice To Haves

Experience in the Healthcare or Insurance domain (e.g., claims, underwriting, clinical workflows)
Experience with MLOps tools and practices (such as MLflow, CI/CD pipelines, model monitoring, and observability)
Solid understanding of Responsible AI principles, bias detection, and model governance

Responsibilities

Design, develop, and deploy end-to-end, scalable AI/ML solutions and pipelines—from problem definition and data ingestion to production deployment and monitoring - with a strong emphasis on the responsible use of AI
Build and productionize ML models and pipelines, incorporating feature engineering, model training, evaluation, and inference services
Use enterprise-approved AI tools and frameworks to streamline development workflows, automate engineering tasks, and drive continuous improvement
Implement scalable AI systems following software engineering and MLOps best practices, including CI/CD, versioning, monitoring, and observability
Develop NLP, Generative AI, and Agentic solutions, utilizing embeddings, transformers, RAG pipelines, prompt engineering, and tool orchestration
Apply classical ML and statistical techniques to solve predictive and analytical business challenges
Evaluate emerging technology trends to inform strategic innovation and solution design
Collaborate with data engineers, product teams, and architects to align AI solutions with business objectives, and mentor junior engineers through code reviews and design discussions