Senior AI​/ML Engineer - Remote

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 Optum Technology Digital team is on a mission to disrupt the healthcare industry, transforming UHG into an industry-leading Consumer brand. We deliver hyper-personalized digital solutions that empower direct-to-consumer, digital-first experiences, educating, guiding, and empowering consumers to access the right care at the right time. Our mission is to revolutionize healthcare for patients and providers by delivering cutting-edge, personalized and conversational digital solutions.

We're Consumer Obsessed, ensuring they receive exceptional support throughout their healthcare journeys. As we drive this transformation, we're revolutionizing customer interactions with the healthcare system, leveraging AI, cloud computing, and other disruptive technologies to tackle complex challenges. Serving United Health Group's digital technology needs, the Consumer Engineering team impacts millions of lives through United Healthcare & Optum.

The Optum Technology Chief Digital Office (CDO) Leadership team is transforming Optum to be an industry-leading Consumer brand. We are on a journey towards delivering a best-in-the-industry consumer experience to our patients and providers by delivering personalized digital solutions that support our consumers throughout their healthcare journeys. This team is transforming to meet the moment - to begin radically altering the way our customers engage with the healthcare system using modern tech to solve some of the most complex problems experienced along the way.

Serving all of United Health Group's digital technology needs, the CDO team is responsible for driving outcomes across nearly 30 million+ human lives with United Healthcare insurance, a number which puts UHC at the top of the pack as the largest managed care provider in the United States.

You'll enjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges.

• Design, develop, and product ionize machine learning and generative AI solutions supporting Health Safe use cases, including conversational AI, clinical/administrative decision support, and longitudinal health data experiences
• Build and maintain end to end ML pipelines (data ingestion, feature engineering, training, evaluation, deployment, and monitoring) in cloud native environments
• Develop scalable inference services and APIs to integrate ML models into Health Safe platforms and downstream consumer or provider applications
• Apply NLP, LLMs, embeddings, and deep learning techniques to enable intelligent health data retrieval, summarization, and conversational workflows
• Collaborate closely with product, engineering, data, clinical, and security stakeholders to translate Health Safe requirements into robust AI/ML solutions
• Ensure model reliability, performance, explainability, and safety, especially for regulated, member impacting healthcare workflows
• Implement Responsible AI (RAI) practices, including bias evaluation, data privacy safeguards, auditability, and governance aligned with enterprise standards
• Optimize models and pipelines for cost, latency, and scale in high volume, production healthcare systems
• Mentor junior engineers and contribute to AI/ML engineering standards, best practices, and reusable frameworks across Health Safe teams

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

• BS with 5+ years of experience or MS and 3+ years in Computer Science or related field
• 3+ years of hands on experience designing and delivering production grade AI/ML systems in enterprise environments
• Experience building NLP and LLM powered systems, including embeddings, semantic search, intent classification, and text summarization
• Hands on experience deploying models using cloud platforms and MLOps practices (CI/CD, monitoring, model versioning)
• Solid foundation in machine learning, statistics, probability, optimization, and experimental design

• Experience contributing to or leading cross functional AI initiatives in large, distributed teams
• Familiarity with healthcare data standards and ecosystems (e.g., FHIR, longitudinal health records, identity and consent flows)
• Demonstrated ability to work on regulated, safety critical…