Back to jobs

Senior Manager, AI/ML Engineering - Java Spring Boot - Remote

Reads like a Data Leadership role: running a data team.

Pay
$148,900–255,300/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 $148,900 - $255,300 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.
Read the full posting
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Lead, manage and mentor a multidisciplinary AI/ML engineering team

  • Define technology roadmaps, architectures and engineering strategy with business partners

  • Drive improvements in MLOps, CI/CD, testing and model governance

  • Oversee technical architecture, design, resourcing, scheduling and risk

  • Set engineering KPIs for model performance, availability and team productivity

From the employer’s posting
Lead, manage, and mentor a multidisciplinary engineering team focused on building, deploying, and maintaining enterprise AI/ML solutions and platforms
Partner with business, product, and architecture stakeholders across UHC Operations and Experience to define technology roadmaps, system architectures, and engineering strategy
Drive continuous improvement in MLOps, software engineering practices, code quality, automated testing, continuous integration/deployment (CI/CD), and model governance
Oversee technical architecture, design decisions, resource allocation, project scheduling, and risk mitigation across all team deliverables
Establish engineering KPIs and operational metrics to evaluate model performance, system availability, and team productivity

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
  • 8+ years of progressive experience in software engineering, or AI/ML engineering with Java Spring Boot
  • 5+ years of experience with core programming languages (e.g.
  • 3+ years of experience managing, leading, or mentoring engineering teams
  • 2+ years of hands-on experience designing, building, and deploying AI/ML models, large language models (LLMs), RAG, etc.
  • 2+ years of experience with cloud platform infrastructure (e.g., Azure, AWS, or GCP) and containerization technologies (e.g., Docker or Kubernetes)

Preferred experience

  • Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related technical field
  • Experience in healthcare technology, specifically within healthcare operations, claims processing, or consumer digital experience
  • Demonstrated expertise in MLOps automation, large-scale data engineering tools (e.g., Spark, Databricks), or Generative AI / Large Language Models (LLMs)
Qualification wording
Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
8+ years of progressive experience in software engineering, or AI/ML engineering with Java Spring Boot
5+ years of experience with core programming languages (e.g. Java)
3+ years of experience managing, leading, or mentoring engineering teams
2+ years of hands-on experience designing, building, and deploying AI/ML models, large language models (LLMs), RAG, etc.
2+ years of experience with cloud platform infrastructure (e.g., Azure, AWS, or GCP) and containerization technologies (e.g., Docker or Kubernetes)
Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related technical field
Experience in healthcare technology, specifically within healthcare operations, claims processing, or consumer digital experience
Demonstrated expertise in MLOps automation, large-scale data engineering tools (e.g., Spark, Databricks), or Generative AI / Large Language Models (LLMs)
Education & alternatives
Required Qualifications: - Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience - 8+ years of progressive experience in software engineering, or AI/ML engineering with Java Spring Boot
Preferred Qualifications: - Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related technical field - Experience in healthcare technology, specifically within healthcare operations, claims processing, or consumer digital experience
Apply at UnitedHealth Group

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 8, 202627 days ago
Recorded sightings
39
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

In line with similar jobs

$149K–$255K against $154K–$225K, the middle half of what similar US postings state.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 27

Similar jobs usually come down between day 7 and day 53.

Well past UnitedHealth Group’s usual: its jobs come down by about day 11.

From 7,871 similar postings that came down, and 798 of UnitedHealth Group’s. Coming down is not always a hire.

UnitedHealth Group is hiring

158 open jobs

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

  • Data Leadership 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.

  • Java
  • AWS
  • Azure
  • Databricks
  • Docker
  • GCP
  • Kubernetes
  • Spark
Where the posting names them
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience - 8+ years of progressive experience in software engineering, or AI/ML engineering with Java Spring Boot - 5+ years of experience with core programming languages (e.g. Java)
- 8+ years of progressive experience in software engineering, or AI/ML engineering with Java Spring Boot - 5+ years of experience with core programming languages (e.g. Java) - 3+ years of experience managing, leading, or mentoring engineering teams
- 2+ years of hands-on experience designing, building, and deploying AI/ML models, large language models (LLMs), RAG, etc. - 2+ years of experience with cloud platform infrastructure (e.g., Azure, AWS, or GCP) and containerization technologies (e.g., Docker or Kubernetes) - Proven track record managing the full software development lifecycle (SDLC) within agile delivery methodologies
- Experience in healthcare technology, specifically within healthcare operations, claims processing, or consumer digital experience - Demonstrated expertise in MLOps automation, large-scale data engineering tools (e.g., Spark, Databricks), or Generative AI / Large Language Models (LLMs) - Solid executive presentation, strategic thinking, and cross-functional stakeholder management skills

Your next step

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.

Already applied? Track this application

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

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 in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together.

 

As a Senior Manager of AI/ML Engineering within the UHC Operations and Experience technology team at Optum Technology, you will lead a high-performing engineering team dedicated to building, scaling, and deploying innovative artificial intelligence and machine learning solutions. In this role, you will partner closely with business leaders, product managers, and enterprise architects to translate operational and customer experience goals into cutting-edge AI-driven solutions. You will drive technical direction, foster engineering excellence, oversee MLOps and software development lifecycles, and mentor engineering talent to deliver high-impact technology that optimizes operations and enhances healthcare experiences.

 

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, manage, and mentor a multidisciplinary engineering team focused on building, deploying, and maintaining enterprise AI/ML solutions and platforms
  • Partner with business, product, and architecture stakeholders across UHC Operations and Experience to define technology roadmaps, system architectures, and engineering strategy
  • Drive continuous improvement in MLOps, software engineering practices, code quality, automated testing, continuous integration/deployment (CI/CD), and model governance
  • Oversee technical architecture, design decisions, resource allocation, project scheduling, and risk mitigation across all team deliverables
  • Ensure AI/ML solutions adhere to enterprise data security, privacy, governance, and regulatory compliance standards
  • Establish engineering KPIs and operational metrics to evaluate model performance, system availability, and team productivity

 

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, a related field, or equivalent experience
  • 8+ years of progressive experience in software engineering, or AI/ML engineering with Java Spring Boot
  • 5+ years of experience with core programming languages (e.g. Java)
  • 3+ years of experience managing, leading, or mentoring engineering teams
  • 2+ years of hands-on experience designing, building, and deploying AI/ML models, large language models (LLMs), RAG, etc.
  • 2+ years of experience with cloud platform infrastructure (e.g., Azure, AWS, or GCP) and containerization technologies (e.g., Docker or Kubernetes)
  • Proven track record managing the full software development lifecycle (SDLC) within agile delivery methodologies

 

Preferred Qualifications:  

  • Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related technical field
  • Experience in healthcare technology, specifically within healthcare operations, claims processing, or consumer digital experience
  • Demonstrated expertise in MLOps automation, large-scale data engineering tools (e.g., Spark, Databricks), or Generative AI / Large Language Models (LLMs)
  • Solid executive presentation, strategic thinking, and cross-functional stakeholder management skills

 

*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 $148,900 - $255,300 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 help make the health system work better for everyone. Together, we are shaping the future of healthcare by harnessing technology and innovation to make care simpler to navigate, more affordable and more connected for the people we serve. We are committed to creating an inclusive workplace where everyone feels welcomed, valued, heard and respected, empowering people to bring their authentic selves to work and strengthening our collective impact through diverse talents, backgrounds, experiences and perspectives.

 

 

UnitedHealth Group and its affiliated brands are 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 and its affiliated brands are a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

 

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

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 $148,900 - $255,300 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

Minnetonka, Minnesota

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

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.