AI ML Engineering Visa Sponsorship Jobs in Arizona
Arizona's AI and ML engineering market is anchored by Intel's semiconductor operations in Chandler, Apple and Amazon's expanding tech campuses in the Phoenix metro, and a growing aerospace and defense sector that increasingly relies on machine learning systems. Banner Health and other major healthcare networks also hire AI engineers to develop clinical decision tools.
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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.
AI ML Engineering Job Roles in Arizona
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Search AI ML Engineering Jobs in ArizonaAI ML Engineering Jobs in Arizona: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Arizona?
Intel in Chandler is one of the most active H-1B visa sponsors for AI and ML engineering roles in Arizona. Amazon, Apple, and Microsoft all have significant Phoenix-area operations that sponsor these positions. Defense contractors like Raytheon and Honeywell Aerospace, both headquartered or heavily staffed in Tucson and the Phoenix metro, also file H-1B petitions for ML engineers working on embedded systems and computer vision applications.
Which visa types are most common for AI ML engineering roles in Arizona?
The H-1B is the most common visa category for AI and ML engineering roles in Arizona, as these positions typically require at least a bachelor's degree in computer science, electrical engineering, or a related field, satisfying the specialty occupation requirement. Candidates with extraordinary ability in AI research may pursue the O-1A. Those with U.S. master's or PhD degrees may also be prioritized through the H-1B advanced degree exemption, which has a separate 20,000-slot allocation.
Which cities in Arizona have the most AI ML engineering sponsorship jobs?
The Phoenix metro area, including Chandler, Tempe, and Scottsdale, concentrates the largest share of AI and ML engineering sponsorship jobs in Arizona, driven by Intel's semiconductor campus, major tech company outposts, and a dense cluster of fintech and healthtech startups. Tucson has a smaller but active market, supported by Raytheon, Honeywell Aerospace, and the University of Arizona's research programs, particularly in computer vision and autonomous systems.
How to find ai ml engineering visa sponsorship jobs in Arizona?
Migrate Mate filters job listings specifically to roles where employers have a documented history of visa sponsorship, so you're not sorting through postings that won't support international candidates. For AI and ML engineering roles in Arizona, you can narrow results by location to target Phoenix metro companies like Intel and Amazon or Tucson-based defense contractors. Migrate Mate's filters help you focus on roles aligned with your visa category and experience level.
Are there university pipelines or industry considerations specific to AI ML engineering sponsorship in Arizona?
Arizona State University and the University of Arizona both produce significant AI and ML engineering talent and have established relationships with regional employers that sponsor OPT and H-1B visas. ASU's partnership with companies in the Intel semiconductor corridor in Chandler creates a direct pipeline for international graduates. Defense and aerospace employers in Arizona sometimes require security clearances, which can affect sponsorship timelines since clearance eligibility is restricted to U.S. citizens and certain permanent residents.
What is the prevailing wage for sponsored ai ml engineering 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.