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Lead AI/ML Engineer - OptumHealth- Eden Prairie

Eden Prairie, Minnesota, United States

Actively hiring, first seen by us today
Pay
$145,500–249,500/year — pay source
*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 $145,500 - $249,500 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.
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Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Lead and mentor AI/ML engineers, setting technical direction, engineering standards, and a culture of continuous learning

  • Translate AI advances in real-time transcription and speech processing into scalable, reusable, production-ready enterprise capabilities

  • Partner with ECS Business to drive solution architecture, cost estimation, and roadmap alignment across modern and legacy technology stacks

From the employer’s posting
Primary Responsibilities: Lead and mentor AI/ML engineers, setting technical direction, engineering standards, and a culture of continuous learning Design, build, and deploy responsible Voice AI capabilities, including speech handling, enhanced ASR, bilingual switching, slurred speech recognition, dynamic personality, and multi-modal/multi-cloud interactions
Design, build, and deploy responsible Voice AI capabilities, including speech handling, enhanced ASR, bilingual switching, slurred speech recognition, dynamic personality, and multi-modal/multi-cloud interactions Translate AI advances in real-time transcription and speech processing into scalable, reusable, production-ready enterprise capabilities Partner with ECS Business to drive solution architecture, cost estimation, and roadmap alignment across modern and legacy technology stacks
Translate AI advances in real-time transcription and speech processing into scalable, reusable, production-ready enterprise capabilities Partner with ECS Business to drive solution architecture, cost estimation, and roadmap alignment across modern and legacy technology stacks Embed ethical AI and HIPAA-compliant security standards across the model development lifecycle

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical field
  • 10+ years of software engineering experience, including designing, building, and deploying production-grade AI/ML models and systems
  • 4+ years of experience developing applications leveraging Large Language Models (LLMs), LLM workflows, Agentic AI, evaluation techniques, and observability platforms
  • 3+ years of experience leading engineering teams, mentoring engineers, defining technical standards, and driving solution architecture
  • Experience with Python, backend services, cloud platforms, and CI/CD pipelines to deliver scalable, secure, production-ready solutions

Preferred experience

  • Master's or Ph.D. degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field
  • Experience developing with front-end frameworks, REST/WebSocket APIs, and secure cloud-native application patterns
  • Experience working in healthcare, including EHR integration and HIPAA-compliant AI application development
Qualification wording
Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical field
10+ years of software engineering experience, including designing, building, and deploying production-grade AI/ML models and systems
4+ years of experience developing applications leveraging Large Language Models (LLMs), LLM workflows, Agentic AI, evaluation techniques, and observability platforms
3+ years of experience leading engineering teams, mentoring engineers, defining technical standards, and driving solution architecture
Experience with Python, backend services, cloud platforms, and CI/CD pipelines to deliver scalable, secure, production-ready solutions
Master's or Ph.D. degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field
Experience developing with front-end frameworks, REST/WebSocket APIs, and secure cloud-native application patterns
Experience working in healthcare, including EHR integration and HIPAA-compliant AI application development
Education & alternatives
Required Qualifications: - Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical field - 10+ years of software engineering experience, including designing, building, and deploying production-grade AI/ML models and systems
Preferred Qualifications: - Master's or Ph.D. degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field - Technical experience with Databricks, Azure AI, Azure Transcription Services, RLlib, PyTorch, OpenAI, or similar AI/ML platforms and frameworks
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 4, 2026today
Recorded sightings
1

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

In line with similar jobs

$146K–$250K 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.

At UnitedHealth Group, jobs usually come down by about day 11.

From 4,397 similar postings that came down, and 803 of UnitedHealth Group’s. Coming down is not always a hire.

UnitedHealth Group is hiring

160 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

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
  • Databricks
  • PyTorch
Where the posting names them
- 3+ years of experience leading engineering teams, mentoring engineers, defining technical standards, and driving solution architecture - Experience with Python, backend services, cloud platforms, and CI/CD pipelines to deliver scalable, secure, production-ready solutions Preferred Qualifications:
- Master's or Ph.D. degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field - Technical experience with Databricks, Azure AI, Azure Transcription Services, RLlib, PyTorch, OpenAI, or similar AI/ML platforms and frameworks - Experience developing with front-end frameworks, REST/WebSocket APIs, and secure cloud-native application patterns

Your next step

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

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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 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.

 

Welcome to the Optum Health AI team! Our mission is to leverage cutting-edge AI technologies to transform healthcare operations, improve patient experience, and enhance scalability. This role focuses primarily on Voice AI-a high-visibility, key strategic initiative under Optum Health AI designed to create a seamless experience for members and agents, reduce manual work, and improve scalability.

 

As a Lead AI/ML Engineer, you will establish foundational capabilities such as language translation, accent harmonization, and real-time transcription. These advanced capabilities will cross-pollinate across all Optum Health AI pillars (including Provider Scheduling, Prior Authorization, Summarization, and more) while setting enterprise-wide standards for external vendor evaluations. Partnering closely with ECS Business, you will lead the estimates, solution architecture, roadmap alignment, and engineering to deliver production-ready prototypes that are reusable, scalable, secure, and compliant.

 

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: 

  • Lead and mentor AI/ML engineers, setting technical direction, engineering standards, and a culture of continuous learning
  • Design, build, and deploy responsible Voice AI capabilities, including speech handling, enhanced ASR, bilingual switching, slurred speech recognition, dynamic personality, and multi-modal/multi-cloud interactions
  • Translate AI advances in real-time transcription and speech processing into scalable, reusable, production-ready enterprise capabilities
  • Partner with ECS Business to drive solution architecture, cost estimation, and roadmap alignment across modern and legacy technology stacks
  • Embed ethical AI and HIPAA-compliant security standards across the model development lifecycle
  • Implement advanced engineering features such as dynamic interactive forms, adaptive updates, and conditional logic to improve patient-agent workflows
  • Define enterprise standards for evaluating and vetting external AI vendors
  • Use enterprise-approved AI tools to automate workflows, accelerate delivery, and drive continuous improvement

 

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: 

  • Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical field
  • 10+ years of software engineering experience, including designing, building, and deploying production-grade AI/ML models and systems
  • 4+ years of experience developing applications leveraging Large Language Models (LLMs), LLM workflows, Agentic AI, evaluation techniques, and observability platforms
  • 3+ years of experience leading engineering teams, mentoring engineers, defining technical standards, and driving solution architecture
  • Experience with Python, backend services, cloud platforms, and CI/CD pipelines to deliver scalable, secure, production-ready solutions

 

Preferred Qualifications:  

  • Master's or Ph.D. degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field
  • Technical experience with Databricks, Azure AI, Azure Transcription Services, RLlib, PyTorch, OpenAI, or similar AI/ML platforms and frameworks
  • Experience developing with front-end frameworks, REST/WebSocket APIs, and secure cloud-native application patterns
  • Deep machine learning domain knowledge across NLP, speech, personalization, recommendation systems, computer vision, or anomaly detection
  • Experience working in healthcare, including EHR integration and HIPAA-compliant AI application development
  • Demonstrated adaptability, ownership, learning agility, and curiosity in solving ambiguous, high-impact technical problems

 

*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 $145,500 - $249,500 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.

#optumtechpj

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Pay
*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 $145,500 - $249,500 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.
Location & working pattern

Eden Prairie, Minnesota, United States

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