
Sr. Manager, AI/ML Engineering (Digital Experience)- Remote
Remote · USJob$149–255K/yrSeen 6 days agoSeen in employer's feed 6 days ago
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Job overview
The Senior Manager of AI/ML Engineering will lead engineering teams building, scaling, and operationalizing AI and machine learning solutions across the enterprise. The role drives strategic technical initiatives, applies MLOps practices, and supports responsible AI innovation for healthcare challenges. It is remote within the U.S., except hires in the Minneapolis or Washington, D.C. area must work in the office at least four days per week.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Requisition number: 2394722
Job category: Technology
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:
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Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
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Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
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Evaluate emerging trends to inform solution design and strategic innovation
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Lead and manage engineering teams in designing, implementing, and maintaining scalable AI/ML pipelines, models, and platforms
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Establish MLOps best practices for model deployment, monitoring, continuous integration, and performance tuning at enterprise scale
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Partner with cross-functional technical leaders, product managers, and business stakeholders to define technical roadmaps and deliver business value
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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:
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8+ years of experience in software engineering, data engineering, or machine learning engineering
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5+ years of hands-on experience developing, scaling, and deploying machine learning models or AI solutions in production environments
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3+ years of technical leadership or direct people management experience driving engineering deliverables
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3+ years of experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-native AI/ML frameworks/architectures
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3+ years of experience implementing MLOps frameworks, automated CI/CD pipelines, and model monitoring tools
Preferred Qualifications:
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Master's or Ph.D. degree in Computer Science, Data Science, Machine Learning, Data Analytics, or related technical field
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Proven track record of operationalizing Generative AI, Large Language Models (LLMs), or advanced deep learning architectures
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Experience in healthcare technology, HIPAA compliance, or working with complex healthcare datasets
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Solid knowledge of responsible AI frameworks, bias mitigation, and model governance practices
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Excellent communication and stakeholder management skills with experience articulating technical concepts to non-technical executives
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $148,900 - $255,300 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and help make the health system work better for everyone. Together, we are shaping the future of healthcare by harnessing technology and innovation to make care simpler to navigate, more affordable and more connected for the people we serve. We are committed to creating an inclusive workplace where everyone feels welcomed, valued, heard and respected, empowering people to bring their authentic selves to work and strengthening our collective impact through diverse talents, backgrounds, experiences and perspectives.
UnitedHealth Group and its affiliated brands are an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group and its affiliated brands are a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
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How this job compares
Set against the 2,186 open Engineering Management jobs on Olive Jobs, counted November 6, 2026.
- Pay
- This posting$149–255K/yr
- Minnesota median$134–244K/yr41 salary ranges
- US median$148–264K/yr1,757 salary ranges
This range's midpoint, $202K, is 8% above the Minnesota median midpoint ($188K) — in the middle half of Engineering Management salary ranges in Minnesota.
- Openings
- Olive Jobs lists 43 open Engineering Management jobs in Minnesota and 2,186 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 8 years of experience; Engineering Management postings that state a minimum ask for 8 years at the median (1,886 postings).
- Education
- 893 of the 2,186 open Engineering Management jobs (41%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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