AI/ML Engineer - Python / Agentic AI - Remote Nationwide or Hybrid in MN/DC

AI/ML Engineer - Python / Agentic AI - Remote Nationwide or Hybrid in MN/DC at UnitedHealth Group

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AI/ML Engineer - Python / Agentic AI - Remote Nationwide or Hybrid in MN/DC

Requisition number: 2357479 Job category: Technology Primary location: Minnetonka, MN Date posted: 04/14/2026 Overtime status: Exempt Travel: No

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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 to start Caring. Connecting. Growing together.

We are seeking an AI/ML Engineer with deep expertise in Generative AI technologies to develop and deploy cutting-edge solutions within the Optum Care Strategic Platform (Facets). The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and frameworks such as LangGraph and LangChain. Strong proficiency in Python along with Software Engineering background using SQL and API development are essential. This role will involve close collaboration with Claims Operations.

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:

• Be able to understand the Facets Delivery, Client priority and requirements
• Proven Good in adapting & adopting new technology footprints to optimize business solutions using AI Adoption
• Apply a solid understanding of Agentic AI concepts and frameworks such as LangGraph and LangChain to design and implement intelligent, autonomous systems
• Utilize expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Transformer architectures to build scalable and high-performing AI solutions
• Develop sophisticated generative AI algorithms and models to create new data samples, patterns, or content based on existing datasets and user inputs
• Build and maintain robust APIs using frameworks such as FastAPI to enable seamless integration of AI services
• Develop secure, maintainable software using SQL and modern engineering patterns
• Deploy AI/ML solutions in production environments, preferably on cloud platforms like Azure
• Implement machine learning and natural language processing projects from concept to production
• Conduct rigorous model testing, validation, and performance optimization
• Containerize AI/ML projects and implement CI/CD pipelines using tools like GitHub Actions
• Collaborate with stakeholders to preprocess, analyze, and interpret large-scale datasets
• Stay current with emerging trends and advancements in generative AI and ML technologies
• Mentor and lead other engineers to reach their potential
• Ensure code quality and security by identifying and resolving vulnerabilities
• Maintain solid programming practices and standards
• Provide timely updates on tasks to reporting supervisor
• Adherence to the defined SLA Compliance etc
• Provide support and leadership in critical production support issue resolution
• Participate in on-call rotations as scheduled
• Work with team to achieve timely resolution of all production issues meeting or exceeding Service Level Agreements

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:

• Undergraduate degree or equivalent experience
• 3+ years of experience in Python programming
• 2+ years of experience with build, Deploying and manage ML models on cloud platforms such as Microsoft Azure or any other Cloud platform
• 2+ years of Database Design/Programming
• 1+ years of Terraform scripts understanding
• 1+ years of Git action and CI/CD experience needed

Preferred Qualifications:

• 2+ years of software engineering and testing experience in C# / .Net programming language
• Healthcare Claims EDI Experience
• Prompt engineering experience
• Experience leveraging Large Language Models (LLMs)
• Experience working with various AI/ML infrastructure, tools and platforms across the full stack of AI/ML technology
• Experience with the challenges of delivering and monitoring LLM based cloud systems into production
• Proven solid communication skills with the ability to explain complex technical concepts to diverse audiences
• 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 $98,500 to $176,000 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.

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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.

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We have received recent reports of fraudulent LinkedIn messages and emails alleging or claiming to be sent from UnitedHealth Group, UnitedHealthcare, or Optum Executives.

The fraudulent LinkedIn messages and emails, which do not originate from any Executives LinkedIn account or of UnitedHealth Group's email domains, or those of any of its operating divisions, supposedly conducts an interview via a Zoom meeting, offers a work from home job at Optum, emails an application, sends a fake check by next day delivery through USPS and asks recipients to pay a vendor a large dollar amount. These counterfeit-check cashing schemes exist and use a variety of deceptions to get people to cash these fraudulent checks.

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