Design and deploy AI/ML and generative AI solutions for core claims work
Build LLM-powered applications, prompt engineering solutions and RAG frameworks
Apply AI to automate claims classification, routing, document understanding and triage
Build model evaluation, performance testing and validation frameworks
Support feature engineering, model deployment, inference optimization and production support
From the employer’s posting
Design, develop, and implement AI/ML and Generative AI solutions supporting Core Claims initiatives
Develop and deploy Large Language Model (LLM) powered applications, prompt engineering solutions, and Retrieval-Augmented Generation (RAG) frameworks
Apply AI techniques to automate claims workflows including classification, intelligent routing, document understanding, decision support, and operational triage
Develop frameworks for model evaluation, performance testing, validation, and continuous improvement
Partner with data science and engineering teams on feature engineering, model deployment, inference optimization, and production support
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field
7+ years of experience in AI/ML solution development, with hands-on experience in Generative AI and Large Language Models (LLMs)
Experience building and deploying LLM-powered applications, RAG architectures, prompt engineering solutions, and intelligent automation systems
Experience with model evaluation frameworks, performance optimization, and AI solution validation
Experience collaborating with cross-functional teams across engineering, analytics, product management, and business functions
Understanding of Responsible AI principles, model explainability, governance, and ethical AI practices
Preferred experience
Experience within healthcare, healthcare claims, payment integrity, fraud detection, or operational analytics domains
Experience with cloud-based AI/ML platforms and MLOps practices
Experience delivering AI solutions that drive measurable business outcomes and operational efficiencies
Knowledge of Medicare & Retirement (M&R) Claims processes and operations
Qualification wording
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field
7+ years of experience in AI/ML solution development, with hands-on experience in Generative AI and Large Language Models (LLMs)
Experience building and deploying LLM-powered applications, RAG architectures, prompt engineering solutions, and intelligent automation systems
Experience with model evaluation frameworks, performance optimization, and AI solution validation
Experience collaborating with cross-functional teams across engineering, analytics, product management, and business functions
Understanding of Responsible AI principles, model explainability, governance, and ethical AI practices
Experience within healthcare, healthcare claims, payment integrity, fraud detection, or operational analytics domains
Experience with cloud-based AI/ML platforms and MLOps practices
Experience delivering AI solutions that drive measurable business outcomes and operational efficiencies
Knowledge of Medicare & Retirement (M&R) Claims processes and operations
Education & alternatives
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field
- 7+ years of experience in AI/ML solution development, with hands-on experience in Generative AI and Large Language Models (LLMs)
Likely evergreenReposted 2 times since Oct 7, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
Status in our records
Live
First seen by us
Oct 30, 202614 days ago
Recorded sightings
15
Last seen by us
Nov 13, 2026
Reposted
2 times since Oct 7, 2026
Oct 30, 2026today
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 14
477
Similar jobs usually come down between day 4 and day 77.
At UnitedHealth Group, jobs usually come down by about day 13.
From 51 similar postings that came down, and 942 of UnitedHealth Group’s. Coming down is not always a hire.
UnitedHealth Group is hiring
167 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
Where the posting names them
- Understanding of Responsible AI principles, model explainability, governance, and ethical AI practices
- Solid proficiency in Python and modern AI/ML frameworks and toolchains
- Proven problem-solving, communication, stakeholder management, and presentation skills
Complete your application on careers.unitedhealthgroup.com. The employer’s form will show what is required.
Applying through Radancy (TalentBrew)
Radancy (TalentBrew) runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Yes. We’ve followed 4 other AI/ML Engineer jobs there since August 2026. One came down after 1 day. 3 are still up.
Eden PrairieCame down after 1 day, first seen Aug 31
BengaluruStill up after 62 days, first seen Sep 12
Eden PrairieStill up after 62 days, first seen Sep 12
HyderabadStill up after 42 days, first seen Oct 3
This jobUp 14 days so far, first seen Oct 30
Aug 31Today
Large employers often post one title for several teams, so these can be separate openings.
About UnitedHealth Group
People
About 390,000 in 2025, down 2% from the year before.Annual report (SEC Form 10-K)
Company
Listed as UNH.
H-1B visas
11 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
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.
Primary Responsibilities:
Design, develop, and implement AI/ML and Generative AI solutions supporting Core Claims initiatives including Duplicate Overpayments, Fraud, Waste & Abuse (FWA) Disputes, and First Pass Claims
Develop and deploy Large Language Model (LLM) powered applications, prompt engineering solutions, and Retrieval-Augmented Generation (RAG) frameworks
Apply AI techniques to automate claims workflows including classification, intelligent routing, document understanding, decision support, and operational triage
Collaborate with engineering, product, analytics, and business teams to build scalable AI solutions that address complex business challenges
Develop frameworks for model evaluation, performance testing, validation, and continuous improvement
Partner with data science and engineering teams on feature engineering, model deployment, inference optimization, and production support
Ensure adherence to Responsible AI practices, including explainability, governance, fairness, and model validation standards
Identify opportunities to improve operational efficiency through AI-driven automation and intelligent decision-making
Stay current with advancements in Artificial Intelligence, Generative AI, Large Language Models, and related technologies
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field
7+ years of experience in AI/ML solution development, with hands-on experience in Generative AI and Large Language Models (LLMs)
Experience building and deploying LLM-powered applications, RAG architectures, prompt engineering solutions, and intelligent automation systems
Experience with model evaluation frameworks, performance optimization, and AI solution validation
Experience collaborating with cross-functional teams across engineering, analytics, product management, and business functions
Understanding of Responsible AI principles, model explainability, governance, and ethical AI practices
Solid proficiency in Python and modern AI/ML frameworks and toolchains
Proven problem-solving, communication, stakeholder management, and presentation skills
Preferred Qualifications:
Experience within healthcare, healthcare claims, payment integrity, fraud detection, or operational analytics domains
Experience with cloud-based AI/ML platforms and MLOps practices
Experience delivering AI solutions that drive measurable business outcomes and operational efficiencies
Knowledge of Medicare & Retirement (M&R) Claims processes and operations
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.