Senior AI/ML Engineer - Remote

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 in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together.

As a Senior AI/ML Engineer within Optum Technology, you will design and deliver enterprise-scale AI solutions, platforms, and automations that transform healthcare delivery and operations. In this role, you will build scalable ML models, optimize data pipelines, and integrate advanced artificial intelligence architectures into production environments with an emphasis on responsible AI use. Working alongside cross-functional teams of data scientists, software engineers, and product leaders, you will evaluate emerging trends, streamline complex workflows, and deploy cutting-edge technologies to solve high-impact healthcare challenges.

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.

Primary Responsibilities:

• Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI
• Design, develop, and deploy scalable artificial intelligence and machine learning models into cloud-based production environments
• Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
• Evaluate emerging trends in artificial intelligence and machine learning to inform solution design and strategic innovation
• Build, optimize, and maintain robust data pipelines and ML architectures for training, evaluation, and real-time inference
• Collaborate with data scientists, software engineers, and product managers to translate healthcare business requirements into technical AI/ML architecture
• Monitor, evaluate, and fine-tune model performance, latency, and accuracy in production environments
• Establish best practices for MLOps, including automated testing, model monitoring, version control, and continuous integration/continuous deployment (CI/CD)
• Conduct code reviews, mentor technical team members, and drive engineering excellence across the team

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.