Software Engineer AI Visa Sponsorship Jobs in Arizona
Arizona's AI engineering sector is concentrated in Phoenix and Scottsdale, where companies like Intel, GoDaddy, and a growing cluster of fintech and cloud infrastructure firms regularly sponsor visas for software engineers working on machine learning and AI systems. Tempe's proximity to Arizona State University also creates a consistent pipeline of AI-focused engineering talent and employer demand.
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Get Access To All JobsINTRODUCTION
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Position Summary
The Artificial Intelligence (AI) Infrastructure product manager role is responsible for maximizing the value of the Enterprise AI Infrastructure capabilities required to support the Bank’s model development and model inferencing at scale. Job duties include setting the vision and roadmap for AI Infrastructure products, prioritizing the delivery, and effectively communicating to all partners. This role works closely with stakeholders to understand requirements and ensure alignment with the product priorities. The product manager is an expert in AI infrastructure, business or technology domain, and the industry.
KEY RESPONSIBILITIES
- Product expert for AI infrastructure capabilities including both on premise and Cloud offerings
- Define the vision and roadmap for the AI Infrastructure based on customer requirements, industry trends, regulations, and the strategic direction for the business or technology domain. Drive product selection, RFx, etc.
- Ensure alignment across AI Infrastructure roadmaps to achieve portfolio objectives and support the financials and budget
- Articulate roadmaps and features to Global Technology stakeholders and partners including CIO, Architecture & Engineering, Production Support and Information Security
- Define and prioritize features/epics in the program book of work
- Represent product(s) within AI Infrastructure to control partners, e.g., Finance, Audit/Risk, Lines of Business
- Continuously oversee product inventory, performance, lifecycle and risk to ensure product health
REQUIRED QUALIFICATIONS
- 10+ years of experience as an infrastructure engineer or product manager in a related infrastructure technology
- 5+ years of experience working as a SME in a related infrastructure technology
- AI Infrastructure architecture experience within a large corporation is preferred
- Knowledge of key technologies including Nvidia AI platforms, RedHat AI portfolio or similar infrastructure platforms
- Excellent written and oral communication skills including experience interacting with senior leadership and industry experts
- Must have strong program management skills necessary to lead multi-discipline technology teams
- Familiarity with general finance and accounting practices is preferable
- Must have working experience in an Agile managed organization using products such as Jira & Confluence
- Must be a highly motivated, self-directed individual capable of supporting multiple large initiatives
DESIRED QUALIFICATIONS
- BA or BS in Computer Science, Information Security or AI
- Participate in cross-functional teams and ability to work effectively in a geographically dispersed team
SKILLS
- Financial Management
- Influence
- Solution Delivery Process
- Stakeholder Management
- Technical Strategy Development
- Agile Practices
- Analytical Thinking
- Collaboration
- Result Orientation
- Risk Management
- Business Acumen
- Business Case Analysis
- Data Management
- Solution Design
- Vendor Management
SHIFT
1st shift (United States of America)
HOURS PER WEEK
40
INTRODUCTION
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Position Summary
The Artificial Intelligence (AI) Infrastructure product manager role is responsible for maximizing the value of the Enterprise AI Infrastructure capabilities required to support the Bank’s model development and model inferencing at scale. Job duties include setting the vision and roadmap for AI Infrastructure products, prioritizing the delivery, and effectively communicating to all partners. This role works closely with stakeholders to understand requirements and ensure alignment with the product priorities. The product manager is an expert in AI infrastructure, business or technology domain, and the industry.
KEY RESPONSIBILITIES
- Product expert for AI infrastructure capabilities including both on premise and Cloud offerings
- Define the vision and roadmap for the AI Infrastructure based on customer requirements, industry trends, regulations, and the strategic direction for the business or technology domain. Drive product selection, RFx, etc.
- Ensure alignment across AI Infrastructure roadmaps to achieve portfolio objectives and support the financials and budget
- Articulate roadmaps and features to Global Technology stakeholders and partners including CIO, Architecture & Engineering, Production Support and Information Security
- Define and prioritize features/epics in the program book of work
- Represent product(s) within AI Infrastructure to control partners, e.g., Finance, Audit/Risk, Lines of Business
- Continuously oversee product inventory, performance, lifecycle and risk to ensure product health
REQUIRED QUALIFICATIONS
- 10+ years of experience as an infrastructure engineer or product manager in a related infrastructure technology
- 5+ years of experience working as a SME in a related infrastructure technology
- AI Infrastructure architecture experience within a large corporation is preferred
- Knowledge of key technologies including Nvidia AI platforms, RedHat AI portfolio or similar infrastructure platforms
- Excellent written and oral communication skills including experience interacting with senior leadership and industry experts
- Must have strong program management skills necessary to lead multi-discipline technology teams
- Familiarity with general finance and accounting practices is preferable
- Must have working experience in an Agile managed organization using products such as Jira & Confluence
- Must be a highly motivated, self-directed individual capable of supporting multiple large initiatives
DESIRED QUALIFICATIONS
- BA or BS in Computer Science, Information Security or AI
- Participate in cross-functional teams and ability to work effectively in a geographically dispersed team
SKILLS
- Financial Management
- Influence
- Solution Delivery Process
- Stakeholder Management
- Technical Strategy Development
- Agile Practices
- Analytical Thinking
- Collaboration
- Result Orientation
- Risk Management
- Business Acumen
- Business Case Analysis
- Data Management
- Solution Design
- Vendor Management
SHIFT
1st shift (United States of America)
HOURS PER WEEK
40
Software Engineer AI Job Roles in Arizona
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Search Software Engineer AI Jobs in ArizonaSoftware Engineer AI Jobs in Arizona: Frequently Asked Questions
Which companies sponsor visas for software engineer AIs in Arizona?
Intel's Chandler campus, GoDaddy, Axway, and Carvana are among Arizona-based employers with documented H-1B visa sponsorship histories for software engineering roles. Phoenix also hosts operations for larger tech employers including Amazon Web Services and Microsoft, both of which sponsor AI-focused engineers. Fintech and semiconductor companies in the greater Phoenix area have shown consistent sponsorship activity in recent years.
Which visa types are most common for software engineer AI roles in Arizona?
The H-1B is the most common visa for AI software engineers in Arizona. Roles involving machine learning, model development, or AI infrastructure typically qualify as specialty occupations requiring a relevant bachelor's degree or higher in computer science, mathematics, or a related field. Australian citizens may also be eligible for the E-3 visa, which has no lottery and processes faster than the H-1B.
Which cities in Arizona have the most software engineer AI sponsorship jobs?
Phoenix and Scottsdale account for the majority of AI engineering sponsorship activity in Arizona, driven by corporate headquarters and regional tech offices concentrated there. Tempe and Chandler are also significant, with Intel's semiconductor campus in Chandler and strong ties to Arizona State University in Tempe generating demand for AI and machine learning engineers. Tucson has a smaller but emerging tech presence.
How to find software engineer ai visa sponsorship jobs in Arizona?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search for software engineer AI roles in Arizona without sorting through positions that don't offer sponsorship. You can filter by state and role type to surface relevant openings from Arizona-based employers. This is particularly useful for H-1B and E-3 visa candidates who need confirmed sponsorship before applying.
Are there any Arizona-specific considerations for AI software engineers seeking visa sponsorship?
Arizona State University and the University of Arizona produce a steady stream of computer science and AI graduates, which means employers in the Phoenix and Tucson areas are familiar with hiring international candidates on OPT and transitioning them to H-1B sponsorship. Arizona's lower cost base compared to California has also attracted tech companies expanding outside Silicon Valley, which has increased the number of employers open to sponsorship for specialized AI engineering roles.
What is the prevailing wage for sponsored software engineer ai 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.