ML Engineer Visa Sponsorship Jobs in Arizona
Arizona's ML engineer job market is concentrated in the Phoenix metro, where companies like Intel, Amazon, and Banner Health hire for machine learning roles across semiconductor, cloud, and healthcare AI verticals. Tucson adds university-driven demand through the University of Arizona. Employers across the state regularly sponsor H-1B visas for qualified ML engineers.
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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.
ML Engineer Job Roles in Arizona
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Search ML Engineer Jobs in ArizonaML Engineer Jobs in Arizona: Frequently Asked Questions
Which companies sponsor visas for ML engineers in Arizona?
Intel's Chandler campus is one of Arizona's largest H-1B sponsors for technical roles, including machine learning engineers. Amazon Web Services, Microsoft, and PayPal maintain engineering operations in the Phoenix area and have documented sponsorship histories for ML positions. Banner Health and Dignity Health sponsor ML engineers building clinical AI tools. Defense contractors like Raytheon also hire ML engineers in Tucson, though sponsorship practices vary by clearance requirements.
Which visa types are most common for ML engineer roles in Arizona?
The H-1B is the primary visa category for ML engineers in Arizona, as the role consistently qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, mathematics, or a related field. Candidates already holding O-1A visas based on extraordinary ability in AI research also find strong employer interest in the Phoenix market. TN visa status is available to Canadian and Mexican nationals in qualifying computer-related occupations.
How to find ml engineer visa sponsorship jobs in Arizona?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse ML engineer roles in Arizona without sorting through positions that don't sponsor. You can narrow results to the Phoenix or Tucson metro areas and filter by employer type. Migrate Mate also surfaces companies with consistent sponsorship track records, which is especially useful for ML engineers targeting industries like semiconductor manufacturing, healthcare AI, or fintech.
Which cities in Arizona have the most ML engineer sponsorship jobs?
Phoenix and its East Valley cities, particularly Chandler, Scottsdale, and Tempe, account for the majority of ML engineer sponsorship activity in Arizona. Intel's Chandler semiconductor operations, Tempe's fintech cluster, and Scottsdale's growing tech corridor drive most of this demand. Tucson is a secondary market with ML hiring concentrated around the University of Arizona, defense contractors, and optical sciences companies like II-VI Incorporated.
Are there state-specific factors ML engineers should know about Arizona sponsorship hiring?
Arizona's cost of living relative to California tech hubs makes Phoenix an increasingly attractive location for employers expanding ML teams without Bay Area overhead, which has broadened the sponsorship market in recent years. The University of Arizona and Arizona State University produce ML graduate talent that feeds local pipelines, and some employers prefer candidates already embedded in the state's research ecosystem. Arizona has no state income tax on wages, which affects total compensation calculations but does not directly impact visa sponsorship eligibility.
What is the prevailing wage for sponsored ml 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.