AI Product Engineer Visa Sponsorship Jobs in Arizona
Arizona's growing tech sector, anchored by companies like Intel, Microsoft, and Axon in the Phoenix metro and Tucson's defense and semiconductor industries, creates steady demand for AI product engineers. Major tech campuses in Scottsdale, Tempe, and Chandler regularly sponsor international talent for roles bridging machine learning, product development, and engineering.
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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
AI Product Engineer Job Roles in Arizona
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Search AI Product Engineer Jobs in ArizonaAI Product Engineer Jobs in Arizona: Frequently Asked Questions
Which companies sponsor visas for AI product engineers in Arizona?
Intel, Microsoft, Amazon, Axon, and Honeywell are among the established Arizona employers with histories of sponsoring work visas for engineering and AI-focused roles. The Phoenix metro also has a growing cluster of fintech and cloud companies, including PayPal and GoDaddy, that hire AI product engineers and have sponsored H-1B visa petitions. Semiconductor and defense firms in Chandler and Tucson round out the sponsoring employer base.
Which visa types are most common for AI product engineer roles in Arizona?
The H-1B is the most common visa category for AI product engineers in Arizona, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, engineering, or a related field. Candidates from Australia may explore the E-3 visa, Canadians and Mexicans the TN visa under the USMCA, and those with extraordinary ability in AI may qualify for the O-1A. L-1 visa transfers are also used within multinational companies with Arizona offices.
How to find ai product engineer visa sponsorship jobs in Arizona?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it practical to search for AI product engineer roles in Arizona without sifting through positions that don't sponsor. You can narrow results by location, filtering to Phoenix, Scottsdale, Tempe, or Tucson, and by role type to surface relevant openings at companies actively filing petitions for international candidates in this field.
Which cities in Arizona have the most AI product engineer sponsorship jobs?
Phoenix and its surrounding cities, particularly Scottsdale, Tempe, and Chandler, concentrate the majority of AI product engineer sponsorship opportunities in Arizona. Chandler hosts Intel's major semiconductor campus, while Tempe and Scottsdale attract technology and fintech employers. Tucson has a smaller but distinct market driven by the University of Arizona's research pipeline and established defense and aerospace contractors.
Are there state-specific considerations for AI product engineers seeking visa sponsorship in Arizona?
Arizona does not impose state-level visa sponsorship requirements beyond federal obligations, but employers must comply with Department of Labor prevailing wage rules when filing Labor Condition Applications for H-1B positions. Arizona's tech growth has been partly driven by companies relocating from California, which has increased sponsoring employer density in the Phoenix metro. The University of Arizona and Arizona State University also supply OPT candidates that employers in the state are familiar with sponsoring through to H-1B status.
What is the prevailing wage for sponsored ai product 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.