AI ML Engineering Visa Sponsorship Jobs in Minnesota
Minnesota's AI and ML engineering roles are concentrated in the Twin Cities metro, where companies like 3M, UnitedHealth Group, and Optum run active machine learning teams. The state's strong healthcare technology and fintech sectors create consistent demand for AI specialists, and employers across Minneapolis and Saint Paul regularly hire international candidates who need visa sponsorship.
Find AI ML Engineering JobsOverview
Showing 5 of 246+ AI ML Engineering Jobs in Minnesota with Visa Sponsorship
See all 246+ AI ML Engineering Jobs in Minnesota with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineering Jobs in Minnesota with Visa Sponsorship.
Get Access To All JobsINTRODUCTION
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.
The Vice President of AI/ML Engineering for Medicare & Retirement (M&R) is responsible for driving AI-first engineering transformation across the portfolio, enabling scalable, production-grade AI capabilities that power growth, cost optimization, and operational efficiency for Medicare Advantage and Dual Eligible Special Needs Plan (DSNP) businesses.
This leader translates complex healthcare business challenges—such as benefit design, clinical operations, member engagement, and sales optimization—into deployable AI solutions, platforms, and products. The role will lead enterprise AI/ML engineering at scale, embedding AI across plan design, digital experiences, and operational workflows.
The impact of this role is direct and measurable: driving revenue growth and retention, increasing market responsiveness, strengthening resiliency and compliance, and reducing cost to serve through AI first modernization, platform reuse, and operational excellence—while modeling UnitedHealth Group values of Integrity, Quality, Inclusion, Compassion, Relationships, Innovation, and Performance.
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:
AI Strategy & Portfolio Transformation
- Define and execute an enterprise AI/ML strategy aligned to M&R business priorities and growth objectives
- Embed AI across core value streams: benefit design, member lifecycle, and clinical operations
- Drive transition from experimentation to scaled, production-grade AI across the portfolio
AI/ML Platform & Engineering Leadership
- Build and scale enterprise AI/ML platforms supporting model development, deployment, and monitoring
- Enable real-time decisioning and batch analytics at scale
- Standardize MLOps, AI pipelines, and engineering delivery practices
- Drive reusable AI services and shared capabilities across the enterprise
- Accelerate adoption of GenAI, LLMs, and agent-based systems where appropriate
Business Alignment & Value Delivery
- Partner with Product, Business (M&R leadership), and Finance to prioritize high-value AI use cases
- Align AI investments to measurable ROI outcomes across growth, clinical, and operational domains
- Translate business problems (pricing, engagement, operations) into deployable AI solutions
- Scale pilots into enterprise-grade platforms
Engineering Execution & Operational Excellence
- Lead delivery of production-grade AI systems with high reliability, scalability, and compliance
- Establish best practices for model validation, testing, and monitoring
- Optimize performance and cost efficiency across AI workloads and infrastructure
- Embed AI into SDLC and operational workflows as a standard engineering capability
AI, Automation & Healthcare Impact (M&R-Specific Outcomes)
- Lead AI/ML engineering across the M&R portfolio, enabling:
- Benefit design optimization
- Ancillary benefit optimization and validation
- DSNP and food benefit innovation
- Clinical and Medicare STARS automation
- Deliver measurable outcomes including:
- Revenue growth and marketing effectiveness
- Medical cost optimization and risk adjustment
- Cost-to-serve reduction through automation
- Improved Medicare STARS quality performance
Responsible AI, Risk & Compliance
- Ensure AI solutions comply with healthcare regulations and data privacy standards
- Establish responsible AI practices including fairness, explainability, and auditability
- Partner with security and risk teams to govern models and manage lifecycle risk
AI Transformation Leadership
- Lead the AI Blueprint transformation for M&R Technology, converting enterprise AI priorities into a clear roadmap, governance model, and execution plan
- Align AI priorities and investments to measurable business value
- Drive scaled adoption of AI-first engineering practices, including AIDLC, reusable AI capabilities, responsible AI controls, and enterprise tooling
- Advance the M&R AI talent and workforce strategy through role-based enablement, adoption metrics, and operating model changes that build sustained AI capability
- Monitor transformation progress, risks, dependencies, and outcomes through executive reporting tied to value, adoption, delivery, and responsible AI performance
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:
- 15+ years of software engineering experience, with 5+ years in senior engineering leadership roles
- Proven track record modernizing large scale legacy platforms and establishing AI enabled, cloud native architectures
- Employ AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR)
- Work with large scale computing frameworks and data analysis systems. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and statistical languages
- Demonstrated success leading matrixed, globally distributed engineering teams
- Deep expertise in cloud platforms (AWS, Azure, GCP), microservices, APIs, DevOps, application security, and modern SDLC and AI-SDLC practices
- Hands on leadership integrating AI/ML and GenAI capabilities into production platforms and developer workflows
- Exceptional communication, influencing, and executive stakeholder management skills
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
PREFERRED QUALIFICATIONS:
- Product oriented engineering leader with strong focus on platform reuse, developer experience, and AI enabled productivity
- Experience leading AI first transformation initiatives, including cloud migration, platform consolidation, and intelligent automation
- Proven experience deploying AI/ML Models at scale across Payers / Providers / Healthcare ecosystem OR similarly regulated industries
- Knowledge of Quantum computing
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). The salary for this role will range from $200,400 to $343,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.
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.
INTRODUCTION
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.
The Vice President of AI/ML Engineering for Medicare & Retirement (M&R) is responsible for driving AI-first engineering transformation across the portfolio, enabling scalable, production-grade AI capabilities that power growth, cost optimization, and operational efficiency for Medicare Advantage and Dual Eligible Special Needs Plan (DSNP) businesses.
This leader translates complex healthcare business challenges—such as benefit design, clinical operations, member engagement, and sales optimization—into deployable AI solutions, platforms, and products. The role will lead enterprise AI/ML engineering at scale, embedding AI across plan design, digital experiences, and operational workflows.
The impact of this role is direct and measurable: driving revenue growth and retention, increasing market responsiveness, strengthening resiliency and compliance, and reducing cost to serve through AI first modernization, platform reuse, and operational excellence—while modeling UnitedHealth Group values of Integrity, Quality, Inclusion, Compassion, Relationships, Innovation, and Performance.
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:
AI Strategy & Portfolio Transformation
- Define and execute an enterprise AI/ML strategy aligned to M&R business priorities and growth objectives
- Embed AI across core value streams: benefit design, member lifecycle, and clinical operations
- Drive transition from experimentation to scaled, production-grade AI across the portfolio
AI/ML Platform & Engineering Leadership
- Build and scale enterprise AI/ML platforms supporting model development, deployment, and monitoring
- Enable real-time decisioning and batch analytics at scale
- Standardize MLOps, AI pipelines, and engineering delivery practices
- Drive reusable AI services and shared capabilities across the enterprise
- Accelerate adoption of GenAI, LLMs, and agent-based systems where appropriate
Business Alignment & Value Delivery
- Partner with Product, Business (M&R leadership), and Finance to prioritize high-value AI use cases
- Align AI investments to measurable ROI outcomes across growth, clinical, and operational domains
- Translate business problems (pricing, engagement, operations) into deployable AI solutions
- Scale pilots into enterprise-grade platforms
Engineering Execution & Operational Excellence
- Lead delivery of production-grade AI systems with high reliability, scalability, and compliance
- Establish best practices for model validation, testing, and monitoring
- Optimize performance and cost efficiency across AI workloads and infrastructure
- Embed AI into SDLC and operational workflows as a standard engineering capability
AI, Automation & Healthcare Impact (M&R-Specific Outcomes)
- Lead AI/ML engineering across the M&R portfolio, enabling:
- Benefit design optimization
- Ancillary benefit optimization and validation
- DSNP and food benefit innovation
- Clinical and Medicare STARS automation
- Deliver measurable outcomes including:
- Revenue growth and marketing effectiveness
- Medical cost optimization and risk adjustment
- Cost-to-serve reduction through automation
- Improved Medicare STARS quality performance
Responsible AI, Risk & Compliance
- Ensure AI solutions comply with healthcare regulations and data privacy standards
- Establish responsible AI practices including fairness, explainability, and auditability
- Partner with security and risk teams to govern models and manage lifecycle risk
AI Transformation Leadership
- Lead the AI Blueprint transformation for M&R Technology, converting enterprise AI priorities into a clear roadmap, governance model, and execution plan
- Align AI priorities and investments to measurable business value
- Drive scaled adoption of AI-first engineering practices, including AIDLC, reusable AI capabilities, responsible AI controls, and enterprise tooling
- Advance the M&R AI talent and workforce strategy through role-based enablement, adoption metrics, and operating model changes that build sustained AI capability
- Monitor transformation progress, risks, dependencies, and outcomes through executive reporting tied to value, adoption, delivery, and responsible AI performance
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:
- 15+ years of software engineering experience, with 5+ years in senior engineering leadership roles
- Proven track record modernizing large scale legacy platforms and establishing AI enabled, cloud native architectures
- Employ AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR)
- Work with large scale computing frameworks and data analysis systems. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and statistical languages
- Demonstrated success leading matrixed, globally distributed engineering teams
- Deep expertise in cloud platforms (AWS, Azure, GCP), microservices, APIs, DevOps, application security, and modern SDLC and AI-SDLC practices
- Hands on leadership integrating AI/ML and GenAI capabilities into production platforms and developer workflows
- Exceptional communication, influencing, and executive stakeholder management skills
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
PREFERRED QUALIFICATIONS:
- Product oriented engineering leader with strong focus on platform reuse, developer experience, and AI enabled productivity
- Experience leading AI first transformation initiatives, including cloud migration, platform consolidation, and intelligent automation
- Proven experience deploying AI/ML Models at scale across Payers / Providers / Healthcare ecosystem OR similarly regulated industries
- Knowledge of Quantum computing
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). The salary for this role will range from $200,400 to $343,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.
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.
AI ML Engineering Job Roles in Minnesota
See all 246+ AI ML Engineering Jobs in Minnesota
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search AI ML Engineering Jobs in MinnesotaAI ML Engineering Jobs in Minnesota: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Minnesota?
UnitedHealth Group, Optum, and 3M are among the most active H-1B visa sponsors for AI and ML engineering roles in Minnesota, based on Department of Labor LCA disclosure data. Mayo Clinic sponsors ML engineers in its Rochester operations, and mid-size fintech and healthtech firms across the Twin Cities metro also file regularly for machine learning positions.
Which visa types are most common for AI ML engineering roles in Minnesota?
The H-1B is the most common visa for AI and ML engineers in Minnesota, as these roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. International candidates with Canadian or Mexican citizenship may qualify for the TN visa under the engineer or computer systems analyst category, which has no lottery and can be processed at the border.
Which cities in Minnesota have the most AI ML engineering sponsorship jobs?
Minneapolis and Saint Paul account for the large majority of AI and ML engineering sponsorship activity in Minnesota. The broader Twin Cities metro, including suburbs like Eden Prairie, Minnetonka, and Plymouth, hosts most of the state's major tech and healthcare employers. Rochester sees demand tied specifically to Mayo Clinic's data science and clinical AI initiatives.
How to find ai ml engineering visa sponsorship jobs in Minnesota?
Migrate Mate filters job listings specifically for roles where employers have a documented history of visa sponsorship, which is useful when searching for AI and ML engineering positions in Minnesota. You can filter by state and job category to surface relevant openings at healthcare technology companies, enterprise software firms, and research-driven employers in the Twin Cities metro who actively hire international candidates.
Are there any state-specific considerations for AI ML engineers seeking visa sponsorship in Minnesota?
Minnesota's AI and ML hiring is heavily concentrated in healthcare technology, which means many roles require familiarity with regulated data environments such as HIPAA-compliant systems. The University of Minnesota and the University of Minnesota Twin Cities produce a strong pipeline of graduate-level ML talent, so employer expectations for technical depth tend to be high. Candidates on OPT or STEM OPT should confirm their university's DSO reporting requirements with their international office before accepting offers in the state.
What is the prevailing wage for sponsored ai ml engineering jobs in Minnesota?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.