Machine Learning Engineer Visa Sponsorship Jobs in Arizona
Arizona's machine learning engineer job market is anchored by major employers like Intel, Honeywell, and Banner Health in the Phoenix metro, alongside a growing presence of tech firms in Tempe and Scottsdale. Arizona State University's AI research output also feeds a steady pipeline of ML talent, making the state an active market for visa sponsorship hiring.
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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.
As a Senior AI/ML Engineer within Optum Technology supporting UnitedHealthcare Community & State, you will lead the evolution of AI-driven software engineering across technology teams. In this role, you will drive the transition from traditional development models to AI-assisted and agentic frameworks, designing and scaling enterprise solutions using Azure OpenAI, LLMs, RAG, and cloud-native architecture. You will collaborate closely with technology and business leadership to deliver high-impact automation, govern Responsible AI standards, and mentor engineering talent to advance healthcare delivery.
Primary Responsibilities:
- Lead AI Software Development Life Cycle (AIDLC) strategy, implementation, and adoption across multiple engineering teams
- Drive transformation from traditional SDLC to AI-assisted and agentic development models
- Design, develop, and deploy AI-powered solutions using Azure OpenAI, LLMs, RAG, and Agentic AI frameworks to address complex business challenges with an emphasis on responsible AI
- Establish standards for AI-ready repositories, engineering knowledge management, and agent enablement
- Build and scale engineering agents for development, testing, code review, documentation, security, and release automation
- Define and govern Responsible AI, security, compliance, Human-in-the-Loop (HITL), and quality controls
- Lead enterprise architecture initiatives leveraging Microservices, Event-Driven Architecture, and Cloud-Native platforms
- Evaluate emerging trends to inform solution design and strategic innovation while leveraging enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
- Collaborate with business and technology leadership to identify and deliver AI-driven automation and transformation opportunities
- Mentor AI Engineers and Software Engineers while supporting high-performing teams and tracking productivity, quality, delivery, and adoption metrics
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, Data Science, Engineering, or equivalent experience
- 5+ years of experience in enterprise software architecture, distributed systems, and cloud-native application development
- 2+ years of hands-on experience with LLMs, AI platforms, Azure OpenAI, RAG, or Agentic AI frameworks
- 2+ years of experience leading AI/ML and engineering transformation initiatives
- 1+ years of experience establishing AI governance, Responsible AI standards, and security/compliance frameworks
Preferred Qualifications:
- Hands-on experience working with HIPAA file formats and healthcare data standards
- Experience with Microservices, Event-Driven Architecture, and release automation platforms
- Proven track record of mentoring software and AI engineers in modern development practices
- Proven strategic planning, execution, and senior stakeholder management capabilities
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 $120,100 - $214,500 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.
As a Senior AI/ML Engineer within Optum Technology supporting UnitedHealthcare Community & State, you will lead the evolution of AI-driven software engineering across technology teams. In this role, you will drive the transition from traditional development models to AI-assisted and agentic frameworks, designing and scaling enterprise solutions using Azure OpenAI, LLMs, RAG, and cloud-native architecture. You will collaborate closely with technology and business leadership to deliver high-impact automation, govern Responsible AI standards, and mentor engineering talent to advance healthcare delivery.
Primary Responsibilities:
- Lead AI Software Development Life Cycle (AIDLC) strategy, implementation, and adoption across multiple engineering teams
- Drive transformation from traditional SDLC to AI-assisted and agentic development models
- Design, develop, and deploy AI-powered solutions using Azure OpenAI, LLMs, RAG, and Agentic AI frameworks to address complex business challenges with an emphasis on responsible AI
- Establish standards for AI-ready repositories, engineering knowledge management, and agent enablement
- Build and scale engineering agents for development, testing, code review, documentation, security, and release automation
- Define and govern Responsible AI, security, compliance, Human-in-the-Loop (HITL), and quality controls
- Lead enterprise architecture initiatives leveraging Microservices, Event-Driven Architecture, and Cloud-Native platforms
- Evaluate emerging trends to inform solution design and strategic innovation while leveraging enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
- Collaborate with business and technology leadership to identify and deliver AI-driven automation and transformation opportunities
- Mentor AI Engineers and Software Engineers while supporting high-performing teams and tracking productivity, quality, delivery, and adoption metrics
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, Data Science, Engineering, or equivalent experience
- 5+ years of experience in enterprise software architecture, distributed systems, and cloud-native application development
- 2+ years of hands-on experience with LLMs, AI platforms, Azure OpenAI, RAG, or Agentic AI frameworks
- 2+ years of experience leading AI/ML and engineering transformation initiatives
- 1+ years of experience establishing AI governance, Responsible AI standards, and security/compliance frameworks
Preferred Qualifications:
- Hands-on experience working with HIPAA file formats and healthcare data standards
- Experience with Microservices, Event-Driven Architecture, and release automation platforms
- Proven track record of mentoring software and AI engineers in modern development practices
- Proven strategic planning, execution, and senior stakeholder management capabilities
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 $120,100 - $214,500 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.
Machine Learning Engineer Job Roles in Arizona
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Search Machine Learning Engineer Jobs in ArizonaMachine Learning Engineer Jobs in Arizona: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Arizona?
Intel's semiconductor operations in Chandler, Honeywell's aerospace and defense division in Phoenix, and Banner Health's healthcare AI teams are among the more consistent H-1B visa sponsors for machine learning engineers in Arizona. Smaller fintech and SaaS companies in Scottsdale and Tempe also file sponsorships, though less frequently. Department of Labor LCA disclosure data is a reliable way to verify which employers have sponsored ML roles recently.
Which visa types are most common for machine learning engineer roles in Arizona?
The H-1B is by far the most common visa for machine learning engineers in Arizona, given that ML roles typically require a bachelor's degree or higher in computer science, statistics, or a related field, satisfying the specialty occupation standard. Candidates already holding OPT or STEM OPT through Arizona State University or University of Arizona sometimes transition directly into H-1B sponsorship with their employer. The O-1A is an option for those with demonstrated research recognition or significant publications.
How to find machine learning engineer visa sponsorship jobs in Arizona?
Migrate Mate is built specifically for international job seekers and filters machine learning engineer roles in Arizona by visa sponsorship willingness, saving you from sifting through listings where sponsorship is unavailable. You can browse current openings across Phoenix, Tempe, Scottsdale, and Tucson in one place. Because ML sponsorship hiring in Arizona spans industries from semiconductor manufacturing to healthcare AI, filtering by role and state on Migrate Mate surfaces relevant opportunities across sectors.
Which cities in Arizona have the most machine learning engineer sponsorship jobs?
Phoenix and its immediate suburbs, particularly Tempe, Scottsdale, and Chandler, account for the large majority of machine learning engineer sponsorship activity in Arizona. Chandler is notable for Intel's semiconductor campus, which drives demand for applied ML roles in manufacturing and process optimization. Tucson has a smaller but active market tied to University of Arizona research spinouts and defense contractors such as Raytheon Technologies.
Are there state-specific or role-specific factors that affect machine learning engineer visa sponsorship in Arizona?
Arizona does not have state-level visa rules, but a few local factors shape sponsorship patterns. Arizona State University produces a significant volume of MS and PhD graduates in machine learning each year, which means employers in the Phoenix metro are accustomed to sponsoring OPT-to-H-1B transitions. The state's semiconductor and aerospace industries tend to require security clearances for some roles, which can complicate or limit sponsorship eligibility depending on the position.
What is the prevailing wage for sponsored machine learning engineer jobs in Arizona?
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.