AI ML Engineer Visa Sponsorship Jobs in Arizona
Arizona's AI and ML engineering market is expanding beyond Phoenix, with employers like Intel, Honeywell, and a growing cluster of fintech and autonomous vehicle firms in Tempe and Scottsdale actively hiring. The state's proximity to major research universities and a lower cost of doing business than coastal hubs makes it a consistent source of visa sponsorship activity for AI/ML roles.
Find AI ML Engineer JobsOverview
Showing 5 of 8+ AI ML Engineer Jobs in Arizona with Visa Sponsorship
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all AI ML Engineer Jobs in Arizona with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineer Jobs in Arizona with Visa Sponsorship.
Get Access To All JobsINTRODUCTION
Honeywell is seeking a Sr. Advanced AI Software Engineer to join our team! In this role, you will lead the strategic vision and roadmap while driving performance, reliability, and quality across our software products to support scalable business growth.
You will report directly to our Director of Engineering, and you’ll work out of our Phoenix, Arizona location on a hybrid work schedule. Note: for the first 90 days, new hires must be prepared to work onsite 100% M-F.
YOU MUST HAVE
- 5+ years of hands-on AI/ML experience in production environments. Proven track record of delivering AI-powered systems at scale. Experience working in cross-functional, fast-paced environments
- Core AI / Machine Learning
- Deep expertise in: Machine learning fundamentals (supervised, unsupervised, reinforcement learning). Deep learning architectures (CNNs, RNNs, Transformers)
- Hands-on experience with: Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines. Embeddings, vector databases, and semantic search.
- Programming & Software Engineering: Strong proficiency in Python (primary AI development language), Experience with at least one additional language (Java, C++).
- Solid understanding of: Data structures, algorithms, and distributed systems, API design, microservices, and backend integration, Ability to write clean, maintainable, production-quality code, AI & ML Frameworks.
- Strong experience on one or more cloud platforms: Azure, AWS, Containerization and orchestration: Docker, Kubernetes: CI/CD tools for ML workflows
WE VALUE
- Bachelor’s degree in Computer Science, AI, ML, Data Science, or a related field
- Master’s degree (PhD is a Plus) in Computer Science, AI, ML, Data Science, or a related field
- Multi-agent systems and autonomous agents
- Edge AI or model compression/quantization
- AI safety research and explainability techniques
- Knowledge of: SQL and NoSQL databases
- Familiarity with vector databases
- Publications, patents, or open-source contributions in AI/ML
US PERSON REQUIREMENT
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status, or have the ability to obtain an export authorization.
BENEFITS OF WORKING FOR HONEYWELL
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays.
ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe.
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting date: 4/28/2026.
Responsibilities
- Design, build, and deploy advanced AI/ML systems (including LLMs and generative AI) end to end.
- Architect scalable, reliable, and cost-efficient AI solutions for production environments.
- Lead model optimization, evaluation, monitoring, and continuous improvement.
- Drive MLOps practices for training, deployment, CI/CD, and lifecycle management.
- Collaborate with product, data, and platform teams to deliver business-aligned AI outcomes.
- Provide technical leadership through design reviews, mentorship, and AI strategy influence.
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
INTRODUCTION
Honeywell is seeking a Sr. Advanced AI Software Engineer to join our team! In this role, you will lead the strategic vision and roadmap while driving performance, reliability, and quality across our software products to support scalable business growth.
You will report directly to our Director of Engineering, and you’ll work out of our Phoenix, Arizona location on a hybrid work schedule. Note: for the first 90 days, new hires must be prepared to work onsite 100% M-F.
YOU MUST HAVE
- 5+ years of hands-on AI/ML experience in production environments. Proven track record of delivering AI-powered systems at scale. Experience working in cross-functional, fast-paced environments
- Core AI / Machine Learning
- Deep expertise in: Machine learning fundamentals (supervised, unsupervised, reinforcement learning). Deep learning architectures (CNNs, RNNs, Transformers)
- Hands-on experience with: Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines. Embeddings, vector databases, and semantic search.
- Programming & Software Engineering: Strong proficiency in Python (primary AI development language), Experience with at least one additional language (Java, C++).
- Solid understanding of: Data structures, algorithms, and distributed systems, API design, microservices, and backend integration, Ability to write clean, maintainable, production-quality code, AI & ML Frameworks.
- Strong experience on one or more cloud platforms: Azure, AWS, Containerization and orchestration: Docker, Kubernetes: CI/CD tools for ML workflows
WE VALUE
- Bachelor’s degree in Computer Science, AI, ML, Data Science, or a related field
- Master’s degree (PhD is a Plus) in Computer Science, AI, ML, Data Science, or a related field
- Multi-agent systems and autonomous agents
- Edge AI or model compression/quantization
- AI safety research and explainability techniques
- Knowledge of: SQL and NoSQL databases
- Familiarity with vector databases
- Publications, patents, or open-source contributions in AI/ML
US PERSON REQUIREMENT
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status, or have the ability to obtain an export authorization.
BENEFITS OF WORKING FOR HONEYWELL
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays.
ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe.
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting date: 4/28/2026.
Responsibilities
- Design, build, and deploy advanced AI/ML systems (including LLMs and generative AI) end to end.
- Architect scalable, reliable, and cost-efficient AI solutions for production environments.
- Lead model optimization, evaluation, monitoring, and continuous improvement.
- Drive MLOps practices for training, deployment, CI/CD, and lifecycle management.
- Collaborate with product, data, and platform teams to deliver business-aligned AI outcomes.
- Provide technical leadership through design reviews, mentorship, and AI strategy influence.
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
AI ML Engineer Job Roles in Arizona
See all AI ML Engineer Jobs in Arizona
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search AI ML Engineer Jobs in ArizonaAI ML Engineer Jobs in Arizona: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Arizona?
Intel's Chandler campus, Honeywell's aerospace and defense division in Phoenix, and Waymo's autonomous vehicle operations in the metro area have all filed H-1B visa Labor Condition Applications for AI and ML engineering roles. Fintech firms like Vanguard's Scottsdale office and various cloud infrastructure startups in the Greater Phoenix area also appear regularly in Department of Labor disclosure data for AI/ML positions.
Which visa types are most common for AI ML engineer roles in Arizona?
The H-1B is the most common visa category for AI and ML engineers in Arizona, as these roles consistently qualify as specialty occupations requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates with a master's or PhD may also be eligible for the H-1B advanced degree exemption. Australian citizens can pursue the E-3 visa, which follows a similar process without the lottery.
Which cities in Arizona have the most AI ML engineer sponsorship jobs?
Phoenix and its surrounding suburbs, particularly Chandler, Tempe, and Scottsdale, account for the majority of AI and ML engineering sponsorship activity in Arizona. Chandler is home to Intel's large semiconductor and AI research operations. Tempe hosts Arizona State University spinoffs and tech firms. Tucson has a smaller but growing presence driven by University of Arizona research partnerships and defense contractors such as Raytheon.
How to find ai ml engineer visa sponsorship jobs in Arizona?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search for AI and ML engineer roles in Arizona without sifting through positions that don't sponsor. You can narrow results by city, company size, and visa type. This is particularly useful for Arizona, where sponsorship activity is spread across Phoenix suburbs and a few anchor employers rather than concentrated in one market.
Are there any Arizona-specific considerations for AI ML engineers seeking visa sponsorship?
Arizona State University and the University of Arizona produce a steady pipeline of AI and ML graduates, which means local employers are familiar with OPT and STEM OPT extensions as a bridge to H-1B sponsorship. Arizona's semiconductor and defense sectors, shaped by the CHIPS Act investments flowing into Intel's Chandler fab expansion, have increased demand for ML engineers specifically in chip design, manufacturing optimization, and computer vision applications.
What is the prevailing wage for sponsored ai 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.