Machine Learning Visa Sponsorship Jobs in Arizona
Arizona's machine learning job market is anchored by Intel's semiconductor research campus in Chandler, Honeywell's aerospace AI division in Phoenix, and a growing cluster of fintech and health-tech firms in Scottsdale. Arizona State University's applied AI programs feed a strong local talent pipeline, and many employers in the state actively sponsor H-1B visas for qualified machine learning engineers and researchers.
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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 Job Roles in Arizona
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Search Machine Learning Jobs in ArizonaMachine Learning Jobs in Arizona: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Arizona?
Intel, Honeywell, and Microchip Technology are among the most consistent H-1B sponsors for machine learning roles in Arizona, particularly in the Phoenix metro area. Health-tech companies like Banner Health and Dignity Health have also filed sponsorships for AI and ML positions. Scottsdale-based fintech firms and several semiconductor startups in the Chandler and Tempe corridors round out the sponsoring employer base.
Which visa types are most common for machine learning roles in Arizona?
The H-1B is the most common visa category for machine learning engineers and researchers in Arizona, as ML roles consistently meet the specialty occupation standard requiring a bachelor's degree or higher in computer science, data science, or a related field. Candidates with extraordinary ability may qualify for the O-1A. Graduates from Arizona universities often begin on OPT or STEM OPT before transitioning to H-1B sponsorship.
Which cities in Arizona have the most machine learning sponsorship jobs?
Phoenix and its immediate suburbs account for the majority of machine learning visa sponsorship activity in Arizona. Chandler is a significant hub due to Intel's large semiconductor campus. Tempe benefits from its proximity to Arizona State University and attracts mid-stage tech companies. Scottsdale draws fintech and health-tech employers with ML teams. Tucson has a smaller but active market tied to University of Arizona research partnerships.
How to find machine learning visa sponsorship jobs in Arizona?
Migrate Mate lets you filter machine learning jobs specifically by visa sponsorship availability and state, making it straightforward to identify Arizona employers actively hiring international candidates. Because sponsorship willingness varies widely even within the same industry, filtering to confirmed sponsors saves significant time. Migrate Mate's listings cover roles across Phoenix, Chandler, Tempe, and Scottsdale, where Arizona's ML hiring is most concentrated.
Are there any Arizona-specific considerations for machine learning job seekers seeking sponsorship?
Arizona's growing semiconductor and aerospace sectors create ML demand that differs from pure software markets, meaning candidates with hardware-adjacent ML skills, such as edge inference or sensor data modeling, may find stronger fit here than in coastal tech hubs. Arizona State University's partnerships with Intel and local industry also produce a well-connected alumni network. Prevailing wage requirements for H-1B petitions still apply and are set by the Department of Labor based on the specific role and location.
What is the prevailing wage for sponsored machine learning 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.