Sr AI​/ML Engineer Remote Nationwide or Office-Based in MN​/DC

Improve the lives of others while Caring. Connecting. Growing together.

Job Description - Sr AI/ML Engineer Remote Nationwide or Office-Based in MN/DC (2387098)

Sr AI/ML Engineer Remote Nationwide or Office-Based in MN/DC - 2387098

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.

As a Senior AI/ML Engineer within the Optum Tech UHC Technology team supporting UHC Medicare & Retirement, you will play a key role in designing, building, and scaling artificial intelligence and machine learning solutions that transform the healthcare experience for millions of Medicare-eligible individuals. You will collaborate with cross-functional teams to engineer innovative AI models, automate complex workflows, and deploy robust MLOps pipelines.

By leveraging modern machine learning frameworks and cloud platforms, you will tackle high-impact business challenges and directly contribute to advancing health equity and operational excellence.

You’ll enjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges. This position follows a Office-Based schedule withfour in-office days per week.

• Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
• Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
• Evaluate emerging trends and technologies in artificial intelligence and machine learning to inform solution design and strategic innovation
• Build, train, tune, and operationalize end-to-end machine learning models and AI services for enterprise-scale healthcare applications
• Establish scalable MLOps frameworks, automated deployment pipelines, and continuous model monitoring practices
• Collaborate with cross-functional teams including software engineers, data scientists, and business partners to integrate AI capabilities into production applications
• Ensure AI/ML models meet performance, scalability, security, and ethical governance standards

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.

• 5+ years of professional experience in software engineering, data science, or AI/ML engineering
• 3+ years of experience designing, training, and deploying machine learning models into production environments
• 3+ years of hands-on experience programming in Python and utilizing standard ML libraries/frameworks (e.g., Tensor Flow, PyTorch, scikit-learn, XGBoost)
• 2+ years of experience with MLOps practices, automated model deployment, and monitoring
• 2+ years of experience working with cloud infrastructure (e.g., AWS, Azure, GCP) for scalable machine learning workflows
• 2+ years of experience with relational or non-relational database management and SQL

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field
• Experience with Large Language Models (LLMs), generative AI architectures, prompt engineering, or model fine-tuning
• Experience building…