Job Description
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- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 72,800–130,000/yr
Job Description - AI/ML Engineer (2374137)Go to the main content section.
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Improve the lives of others while Caring. Connecting. Growing together.
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Job Description - AI/ML Engineer (2374137)
Job Description
AI/ML Engineer-2374137
Description
Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together.
You’ll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities
- Design, develop, and deploy AI-powered solutions, digital workers, and intelligent automation capabilities that drive measurable business outcomes and operational efficiency
- Rapidly prototype, validate, and scale emerging AI technologies (Generative AI, Agentic AI, automation, orchestration, and analytics) to address enterprise transformation opportunities
- Partner with business, architecture, engineering, and operations teams to identify high-value use cases and translate them into production-ready AI solutions
- Establish and promote AI engineering best practices, reusable frameworks, governance standards, and responsible AI controls to accelerate enterprise adoption
- Evaluate disruptive technologies, drive innovation pilots, and builde strategic capabilities that position the organization for future-state digital operations
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Qualifications
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related technical discipline
- 5+ years of experience in software engineering. Proven track record developing APIs, microservices, cloud-native architectures, CI/CD pipelines, DevSecOps, and observability
- 5+ years working on teams using agile and lean coding methodologies, such as pair or mob programming
- 3+ years of experience building solutions on a Python stack. Hands-on experience with core AI capabilities, such as generative AI, agentic AI, LLMs, vector databases, embeddings, semantic search, and knowledge retrieval
- 2+ years experience integrating AI solutions with enterprise platforms, business workflows, data platforms, and operational systems to deliver measurable business outcomes
- Strong communication skills for cross-functional collaboration and stakeholder interactions
Preferred Qualifications
- Familiarity with MLOps tools and workflows for monitoring prediction accuracy, detecting feature drift, and assessing ongoing model fit and/or degradation
*All Telecommuters 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 $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
#RPO #GREEN
Job
Software Engineering
Primary Location
US-MN-Eden Prairie
Organization
OI Ops Shared Services
Schedule
Full-time
Number of Openings
1
Social Responsibility
×
- At UnitedHealth Group, we are committed to giving back to the communities where we live and work, across the nation and around the world. Through charitable contributions and volunteering, our people are deeply and personally involved in building healthier communities.
- Learn how we are giving back to our communities
- We embrace and encourage a culture of diversity and inclusion. We know that valuing diversity makes good business sense and helps to ensure our future success.
- Learn more about our culture of Inclusion & Diversity
Fraudulent Activity
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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, offer 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 fraudelent checks.
UnitedHealth Group will never request you to pay a vendor or pay a fee of any sort to explore employment opportunities with our company.
If you wish to verify the legitimacy of any email alleging or claiming to have been sent by or on behalf of UnitedHealth Group Execuitives or Recruiters, please call 1-800-561-0861 between 7 a.m. and 7 p.m. CT, Monday - Friday, for assistance.
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UnitedHealth Group is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need special assistance or accommodation for any part of the application process, please call 1-866-566-8715 to be connected to Recruitment Services. Recruitment Services hours of operation are 7 a.m. to 7 p.m. CT, Monday through Friday.
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Diversity creates a healthier atmosphere
UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
Top
Skills
- Go
- Generative AI
- Python
- LLM
- Vector Databases
- Embeddings
- MLOps