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

Posted Yesterday
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Hiring Remotely in Minnetonka, MN, USA
In-Office or Remote
120K-215K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
Designs, deploys, and scales AI and machine learning solutions for enterprise healthcare applications. Responsibilities include building and tuning production models, developing MLOps frameworks and deployment pipelines, monitoring model performance, automating workflows, evaluating emerging AI technologies, and ensuring security, scalability, responsible AI, and governance standards. The role collaborates with software engineers, data scientists, and business stakeholders.
Summary Generated by Built In
Requisition Number: 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 with four in-office 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 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.
Required Qualifications:
  • 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., TensorFlow, 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

Preferred Qualifications:
  • 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 AI/ML solutions within healthcare, health insurance, or Medicare & Retirement domain applications
  • Experience with containerization technologies (e.g., Docker, Kubernetes) and CI/CD tools
  • Familiarity with enterprise AI governance, model fairness, and healthcare data security standards (e.g., HIPAA)

*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 $120,100 - $214,500 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 make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is 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 is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Skills Required

  • 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 using standard machine learning libraries or frameworks
  • 2+ years of experience with MLOps practices, automated model deployment, and monitoring
  • 2+ years of experience working with cloud infrastructure such as AWS, Azure, or 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, generative AI architectures, prompt engineering, or model fine-tuning
  • Experience building AI/ML solutions in healthcare, health insurance, or Medicare and Retirement applications
  • Experience with Docker, Kubernetes, and CI/CD tools
  • Familiarity with enterprise AI governance, model fairness, and healthcare data security standards such as HIPAA

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The Company
HQ: Eden Prairie, MN
160,000 Employees
Year Founded: 2011

What We Do

Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.

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Optum Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.

Typical time on-site: Not Specified
HQEden Prairie, MN
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