Sr. Manager, AI/ML Engineering (Digital Experience)- 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 Manager of AI/ML Engineering within Optum Technology, you will lead high-performing engineering teams in building, scaling, and operationalizing cutting-edge artificial intelligence and machine learning solutions across the enterprise. In this role, you will drive strategic technical initiatives, leverage modern MLOps practices, and foster responsible AI innovation to address complex 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 emphasis on responsible use of AI
• Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
• Evaluate emerging trends to inform solution design and strategic innovation
• Lead and manage engineering teams in designing, implementing, and maintaining scalable AI/ML pipelines, models, and platforms
• Establish MLOps best practices for model deployment, monitoring, continuous integration, and performance tuning at enterprise scale
• Partner with cross-functional technical leaders, product managers, and business stakeholders to define technical roadmaps and deliver business value
• Mentor, coach, and support professional growth for team members while advocating for architectural quality and engineering excellence

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.

Required Qualifications:

• 8+ years of experience in software engineering, data engineering, or machine learning engineering
• 5+ years of hands-on experience developing, scaling, and deploying machine learning models or AI solutions in production environments
• 3+ years of technical leadership or direct people management experience driving engineering deliverables
• 3+ years of experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-native AI/ML frameworks/architectures