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AI/ML Engineer

Eden Prairie, Minnesota, United States; Remote

Actively hiring, first seen by us today
Pay
$98,500–176,000/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 $98,500 to $176,000 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.
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Work setting
Remote — work setting source
Listed location: Eden Prairie, Minnesota, United States; Remote
Read the full posting
Employment
Not stated

What you’ll work on

Full posting
  • Design and deploy LLM workflows, RAG applications, agents and decision-support tools

  • Build prompt strategies, guardrails and fallback mechanisms for quality and safety

  • Set up evaluation frameworks, test datasets and performance benchmarks

  • Monitor production AI output for accuracy, latency, cost and hallucination risk

  • Analyze failures and continuously improve AI systems

From the employer’s posting
Design, develop, and deploy AI-powered solutions and architectures-including LLM workflows, prompt orchestration chains, agent-based solutions, RAG applications, and decision-support capabilities
Develop prompt strategies, grounding approaches, tool-calling patterns, guardrails, and fallback mechanisms to improve solution quality, safety, and reliability
Establish evaluation frameworks, test datasets, scoring rubrics, and model-performance benchmarks across AI deliverables
Monitor and optimize output quality, relevance, accuracy, consistency, latency, cost efficiency, and hallucination risk in production systems
Conduct failure-mode analysis, optimize model performance, and implement continuous improvements to AI systems

What you’ll bring

All qualifications

Core experience

  • 2+ years of experience in software engineering, machine learning, or AI engineering
  • 1+ years of experience with cloud-native architecture, APIs, and scalable software systems

Preferred experience

  • Master's degree in Computer Science, Engineering, Data Science, or a related technical field
  • Experience supporting Finance, FP&A, Accounting, Treasury, Tax, or related enterprise corporate functions
  • Experience developing and deploying agentic AI solutions
  • Familiarity with AI observability, model monitoring, vector databases, semantic search, and knowledge retrieval systems
Qualification wording
2+ years of experience in software engineering, machine learning, or AI engineering
1+ years of experience with cloud-native architecture, APIs, and scalable software systems
Master's degree in Computer Science, Engineering, Data Science, or a related technical field
Experience supporting Finance, FP&A, Accounting, Treasury, Tax, or related enterprise corporate functions
Experience developing and deploying agentic AI solutions
Familiarity with AI observability, model monitoring, vector databases, semantic search, and knowledge retrieval systems
Education & alternatives
Preferred Qualifications: - Master's degree in Computer Science, Engineering, Data Science, or a related technical field - Experience supporting Finance, FP&A, Accounting, Treasury, Tax, or related enterprise corporate functions
Apply at UnitedHealth Group

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 2026today
Recorded sightings
2
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Lower than most similar jobs

$98.5K–$176K against $166K–$240K, the middle half of what similar US postings state.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 6 and day 69.

From 4,284 similar postings that came down. Coming down is not always a hire.

UnitedHealth Group is hiring

159 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • ML Engineer hiring is steady
  • Takes jobs down quickly
  • 11% of open jobs were reposted
Hiring record

See how this role fits your experience

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Your next step

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

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Has UnitedHealth Group posted this job before?

Yes. We’ve followed 17 other AI/ML Engineer jobs there since August 2026. 14 came down, usually after about 10 days. 3 are still up.

  1. BengaluruCame down after 5 days, first seen Oct 6
  2. HyderabadCame down after 6 days, first seen Oct 7
  3. San FranciscoCame down after 13 days, first seen Oct 9
  4. Eden PrairieCame down after 1 day, first seen Oct 13
  5. HyderabadCame down after 2 days, first seen Oct 14
  6. BengaluruCame down after 7 days, first seen Oct 22
  7. BengaluruCame down after 4 days, first seen Oct 26
  8. HyderabadStill up after 5 days, first seen Oct 30
  9. This jobUp 1 day so far, first seen Nov 3

If this one keeps the same pace, it may come down around November 13.

Large employers often post one title for several teams, so these can be separate openings.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

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.

Are you passionate about applying AI to solve complex business challenges at enterprise scale? We are seeking an AI/ML Engineer to design, build, and operationalize AI capabilities that drive decision-making, productivity, and innovation across the Enterprise Finance organization. In this role, you will lead the development of AI-powered solutions including large language model (LLM) applications, retrieval-augmented generation (RAG), intelligent agents, classification models, summarization workflows, and decision-support tools. You will work closely with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver trusted, scalable, and governed AI solutions that align with enterprise AI/ML engineering practices and AI productization standards.

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

Primary Responsibilities:

  • Design, develop, and deploy AI-powered solutions and architectures-including LLM workflows, prompt orchestration chains, agent-based solutions, RAG applications, and decision-support capabilities-to solve complex business challenges
  • Develop prompt strategies, grounding approaches, tool-calling patterns, guardrails, and fallback mechanisms to improve solution quality, safety, and reliability
  • Partner with Data Engineering teams to ensure access to trusted, governed, and high-quality enterprise data sources
  • Establish evaluation frameworks, test datasets, scoring rubrics, and model-performance benchmarks across AI deliverables
  • Monitor and optimize output quality, relevance, accuracy, consistency, latency, cost efficiency, and hallucination risk in production systems
  • Conduct failure-mode analysis, optimize model performance, and implement continuous improvements to AI systems
  • Collaborate cross-functionally with Quality Engineering, Responsible AI, Security, Privacy, Compliance, and Enterprise Architecture teams
  • Document AI solution behavior, limitations, risk controls, and operational monitoring requirements
  • Support production readiness through observability, monitoring, model evaluation, and drift detection practices
  • Evaluate emerging AI trends and leverage enterprise-approved AI tools to inform solution design, streamline workflows, and drive innovation

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

  • 2+ years of experience in software engineering, machine learning, or AI engineering
  • 1+ years of experience with cloud-native architecture, APIs, and scalable software systems

Preferred Qualifications:

  • Master's degree in Computer Science, Engineering, Data Science, or a related technical field
  • Experience supporting Finance, FP&A, Accounting, Treasury, Tax, or related enterprise corporate functions
  • Experience developing and deploying agentic AI solutions
  • Familiarity with AI observability, model monitoring, vector databases, semantic search, and knowledge retrieval systems
  • Experience developing enterprise AI products from conceptual design through production support
  • 1+ years of hands-on experience building and deploying generative AI and LLM-based applications in production environments
  • 1+ years of experience with prompt engineering, RAG architectures, AI agents, and model evaluation
  • 1+ years of experience applying Responsible AI, security, privacy, or compliance practices within engineering deliverables

*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 $98,500 to $176,000 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

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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 $98,500 to $176,000 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.
Location & working pattern

Eden Prairie, Minnesota, United States; Remote

Working pattern and location restrictions need checking in the full posting.

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