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Senior AI/ML Engineer

Reads like an AI Engineer role: building products on existing AI models.

Eden Prairie, Minnesota, United States; Remote

Live, first seen by us 2 days ago
Pay
$120,100–214,500/year — pay source
*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 $120,100 to $214,500 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.
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Work setting
Remote — work setting source
Listed location: Eden Prairie, Minnesota, United States; Remote
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Employment
Not stated

Before you apply

Employer’s visa record
48 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.

What you’ll work on

Full posting

As a Senior AI/ML Engineer, you will provide technical leadership for the design, architecture, implementation, and operational excellence of Optum's next-generation, AI-powered engagement platforms.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

  • Define the technical vision and architecture for AI-enabled engagement products

  • Build scalable LLM, multi-agent, and RAG systems

  • Lead secure cloud-native AI platform deployment and MLOps/LLMOps practices on Azure

  • Embed responsible AI, governance, and safety controls into solutions

  • Mentor AI engineers and developers and lead design reviews

From the employer’s posting
As a Senior AI/ML Engineer, you will provide technical leadership for the design, architecture, implementation, and operational excellence of Optum's next-generation, AI-powered engagement platforms. In this role, you will partner with Product, Engineering, Data Science, Architecture, Security, and business leaders to drive product roadmaps and deliver innovative AI and agentic systems that directly improve member and provider experiences at enterprise scale. You will work on high-impact initiatives leveraging modern Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and multi-agent workflows to build reliable, secure, and performant healthcare solutions.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Define and execute the technical vision, architectural strategy, and engineering roadmap for AI-enabled products
Architect and build scalable AI and agentic systems utilizing Large Language Models (LLMs), multi-agent orchestration frameworks (such as LangGraph)
Lead the design and deployment of secure, cloud-native AI platforms on Azure
Embed responsible AI practices, model governance, explainability, and safety controls into all solutions
Mentor AI engineers, software developers, and cross-functional delivery teams; lead technical design sessions and architecture reviews

What you’ll bring

All qualifications

Core experience

  • 5+ years of software engineering experience designing and building enterprise-scale applications and platforms
  • 3+ years of experience leading technical design, solution architecture, and engineering direction across multiple teams
  • 2+ years of hands-on experience designing, developing, and deploying AI/ML solutions in production environments
  • 2+ years of experience in Python and modern AI/ML development libraries and tooling

Preferred experience

  • Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related technical discipline
  • Experience leading AI platform development within highly regulated healthcare, insurance, or financial services industries
  • Experience architecting and deploying cloud-native AI/ML services within Microsoft Azure (or comparable cloud environments) utilizing CI/CD and MLOps/LLMOps automation
  • Experience communicating technical strategies and collaborating with cross-functional partners and senior leadership
Qualification wording
5+ years of software engineering experience designing and building enterprise-scale applications and platforms
3+ years of experience leading technical design, solution architecture, and engineering direction across multiple teams
2+ years of hands-on experience designing, developing, and deploying AI/ML solutions in production environments
2+ years of experience in Python and modern AI/ML development libraries and tooling
Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related technical discipline
Experience leading AI platform development within highly regulated healthcare, insurance, or financial services industries
Experience architecting and deploying cloud-native AI/ML services within Microsoft Azure (or comparable cloud environments) utilizing CI/CD and MLOps/LLMOps automation
Experience communicating technical strategies and collaborating with cross-functional partners and senior leadership
Education & alternatives
Preferred Qualifications - Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related technical discipline - Experience leading AI platform development within highly regulated healthcare, insurance, or financial services industries
Apply at UnitedHealth Group

Posting record

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Status in our records
Live
First seen by us
Nov 12, 20262 days ago
Recorded sightings
2
Last seen by us
Nov 13, 2026
Reposted
once since Nov 3, 2026

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 2

Early. 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.

  • Hiring at a steady pace
  • Takes jobs down quickly
  • 10% of open jobs were reposted
Hiring record

See how this role fits your experience

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
  • Azure
Where the posting names them
- 2+ years of hands-on experience designing, developing, and deploying AI/ML solutions in production environments - 2+ years of experience in Python and modern AI/ML development libraries and tooling Preferred Qualifications
- AI Solution Engineering: Architect and build scalable AI and agentic systems utilizing Large Language Models (LLMs), multi-agent orchestration frameworks (such as LangGraph), vector databases, embeddings, and enterprise Retrieval Augmented Generation (RAG) patterns - Platform Development & MLOps: Lead the design and deployment of secure, cloud-native AI platforms on Azure; establish best-in-class MLOps and LLMOps practices including automated evaluation, CI/CD pipelines, model lifecycle management, and cost/performance optimization - Responsible AI & Governance: Embed responsible AI practices, model governance, explainability, and safety controls into all solutions to mitigate risks associated with hallucinations, bias, data leakage, and security vulnerabilities
- Experience leading AI platform development within highly regulated healthcare, insurance, or financial services industries - In-depth experience with Azure OpenAI service, enterprise AI security protocols, and Responsible AI implementation frameworks - Background in establishing enterprise-wide AI architecture standards, prompt engineering guidelines, and model evaluation benchmarks
- Background in establishing enterprise-wide AI architecture standards, prompt engineering guidelines, and model evaluation benchmarks - Experience architecting and deploying cloud-native AI/ML services within Microsoft Azure (or comparable cloud environments) utilizing CI/CD and MLOps/LLMOps automation - Experience communicating technical strategies and collaborating with cross-functional partners and senior leadership

Your next step

Complete your application on careers.unitedhealthgroup.com. The employer’s form will show what is required.

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Already applied? Track this application

Has UnitedHealth Group posted this job before?

Yes. We’ve followed 12 other Senior AI/ML Engineer jobs there since August 2026. All 12 are still up.

  1. San FranciscoStill up after 38 days, first seen Oct 7
  2. HyderabadStill up after 32 days, first seen Oct 13
  3. MinnetonkaStill up after 29 days, first seen Oct 15
  4. HyderabadStill up after 23 days, first seen Oct 22
  5. HyderabadStill up after 17 days, first seen Oct 28
  6. This jobUp 2 days so far, first seen Nov 12
  7. GurugramStill up after 1 day, first seen Nov 12
  8. Eden PrairieStill up after 1 day, first seen Nov 13
  9. NoidaStill up after 1 day, first seen Nov 13

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.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
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.

Job description

View original posting ↗

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, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

Position Summary:

As a Senior AI/ML Engineer, you will provide technical leadership for the design, architecture, implementation, and operational excellence of Optum's next-generation, AI-powered engagement platforms. In this role, you will partner with Product, Engineering, Data Science, Architecture, Security, and business leaders to drive product roadmaps and deliver innovative AI and agentic systems that directly improve member and provider experiences at enterprise scale. You will work on high-impact initiatives leveraging modern Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and multi-agent workflows to build reliable, secure, and performant healthcare solutions.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities

  • Technical Vision & Architecture: Define and execute the technical vision, architectural strategy, and engineering roadmap for AI-enabled products, serving as a lead technical authority on AI solution design, platform standards, and reusable frameworks
  • AI Solution Engineering: Architect and build scalable AI and agentic systems utilizing Large Language Models (LLMs), multi-agent orchestration frameworks (such as LangGraph), vector databases, embeddings, and enterprise Retrieval Augmented Generation (RAG) patterns
  • Platform Development & MLOps: Lead the design and deployment of secure, cloud-native AI platforms on Azure; establish best-in-class MLOps and LLMOps practices including automated evaluation, CI/CD pipelines, model lifecycle management, and cost/performance optimization
  • Responsible AI & Governance: Embed responsible AI practices, model governance, explainability, and safety controls into all solutions to mitigate risks associated with hallucinations, bias, data leakage, and security vulnerabilities
  • Technical Leadership & Mentorship: Mentor AI engineers, software developers, and cross-functional delivery teams; lead technical design sessions and architecture reviews while fostering continuous innovation and engineering excellence
  • Cross-Functional Collaboration: Partner closely with Product Management, business leaders, and enterprise technology groups to translate strategic clinical and business objectives into scalable, high-value technical capabilities
  • Operational Excellence: Maintain accountability for platform reliability, availability, performance, and monitoring; establish service-level objectives (SLOs) and lead root-cause analysis to ensure continuous operational health

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 software engineering experience designing and building enterprise-scale applications and platforms
  • 3+ years of experience leading technical design, solution architecture, and engineering direction across multiple teams
  • 2+ years of hands-on experience designing, developing, and deploying AI/ML solutions in production environments
  • 2+ years of experience in Python and modern AI/ML development libraries and tooling

Preferred Qualifications

  • Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related technical discipline
  • Experience leading AI platform development within highly regulated healthcare, insurance, or financial services industries
  • In-depth experience with Azure OpenAI service, enterprise AI security protocols, and Responsible AI implementation frameworks
  • Background in establishing enterprise-wide AI architecture standards, prompt engineering guidelines, and model evaluation benchmarks
  • Experience architecting and deploying cloud-native AI/ML services within Microsoft Azure (or comparable cloud environments) utilizing CI/CD and MLOps/LLMOps automation
  • Experience communicating technical strategies and collaborating with cross-functional partners and senior leadership
  • Experience developing scalable recommendation engines, enterprise search platforms, or conversational engagement systems
  • Experience leading distributed engineering teams and mentoring senior-level engineers
  • Familiarity with modern big data platforms, streaming analytics, and enterprise knowledge graphs

*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 $120,100 to $214,500 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

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Pay
*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 $120,100 to $214,500 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.
Location & working pattern

Eden Prairie, Minnesota, United States; Remote

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