AI Product Engineer Visa Sponsorship Jobs in Minnesota
Minnesota's AI product engineer hiring is anchored by companies like UnitedHealth Group, 3M, and Target in the Twin Cities metro, alongside a growing cluster of fintech and health-tech startups. The University of Minnesota feeds strong local talent pipelines, but employers here regularly sponsor visas for international candidates with specialized machine learning and AI systems experience.
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The University of St. Thomas invites applications for an adjunct faculty member to teach Cybersecurity and the Role of Artificial Intelligence in Emergency Management in the graduate Emergency and Disaster Management program during Fall 2027. This is an 8-week, fully online, asynchronous course. Learn more about the Master of Science degree in Emergency and Disaster Management at the following website: MS Emergency and Disaster Management.
The successful candidate will bring relevant academic expertise and/or professional experience in cybersecurity, artificial intelligence, emergency management, or a related field.
This course examines the intersection of cybersecurity and emergency management, with particular emphasis on how cyber threats affect critical infrastructure, disaster preparedness, and emergency response operations. Students will explore foundational cybersecurity concepts, risk assessment methodologies, disaster response planning, and best practices for protecting digital assets during crises. The course also considers the role and potential applications of artificial intelligence in strengthening cybersecurity and supporting emergency management decision-making.
The ideal candidate will demonstrate the ability to connect theoretical concepts with practical applications, emerging technologies, and contemporary challenges in cybersecurity and emergency management.
Responsibilities
- Develop and/or teach graduate-level course content for an 8-week, online, asynchronous course.
- Integrate relevant professional experiences, case studies, and current research into course materials.
- Examine cybersecurity threats to critical infrastructure and their implications for emergency preparedness, response, and recovery.
- Address the applications, opportunities, and challenges of artificial intelligence in cybersecurity and emergency management.
- Evaluate student learning through assignments, discussions, and other appropriate assessment methods.
- Provide timely feedback and maintain regular communication with students throughout the course.
The University of St. Thomas embraces belonging and equal opportunity for all. Our convictions of dignity, diversity and personal attention call us to embody and champion an inclusive environment. The University is an Equal Employment Opportunity Employer (EEO). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran, or other protected characteristic. This commitment to inclusion and equal opportunity is consistent with our mission: Inspired by Catholic intellectual tradition, the University of St. Thomas educates students to be morally responsible leaders who think critically, act wisely, and work skillfully to advance the common good. A successful candidate will possess a commitment to the ideals of this mission.
Salary Range: $1,000-$5,600 depending on student enrollment
Initial Course Development: $4,000
QUALIFICATIONS:
Minimum Qualifications
Applicants must hold a master's degree in a relevant discipline and meet at least one of the following criteria:
- Professional experience: At least 10 years of relevant professional experience; or
- Scholarly achievement: A sustained record of scholarly achievement demonstrated by at least four academic works, such as peer-reviewed publications, books, book chapters, funded research, or other recognized scholarly contributions.
Relevant experience may include cybersecurity operations, information assurance, critical infrastructure protection, cyber risk management, emergency management, disaster response, artificial intelligence applications, or related areas.
Related Disciplines
Qualified candidates may hold degrees or demonstrate professional expertise in one or more of the following disciplines:
Cybersecurity, Computer Science, Information Technology, Information Systems, Artificial Intelligence, Data Science, Information Assurance, Cyber Operations, Emergency Management, Homeland Security, Intelligence Studies, Criminal Justice, Public Administration, Public Policy, Risk Management, Engineering, or other closely related fields.
Preferred Areas of Expertise
Preference may be given to candidates with expertise or professional experience in cybersecurity threats and risk management, critical infrastructure protection, cyber incident response and recovery, artificial intelligence applications in cybersecurity and emergency management, cybersecurity policy and governance, and the integration of technology into emergency preparedness, response, and decision-making.
Application Instructions
Applications should be submitted by December 1, 2026. The position will remain open until filled.
Interested candidates should submit a current curriculum vitae or résumé and a cover letter highlighting their relevant academic credentials, professional experience, and qualifications to teach the course.
Applicants may also include information about teaching experience, online instruction, scholarly publications, research, or other professional accomplishments. Application materials should demonstrate how the candidate’s background and expertise align with the course content and minimum qualification requirements.
The University of St. Thomas welcomes applications from qualified professionals and scholars who can bring relevant expertise and practical perspectives to graduate education in emergency and disaster management.
OVERVIEW:
The University of St. Thomas invites applications for an adjunct faculty member to teach Cybersecurity and the Role of Artificial Intelligence in Emergency Management in the graduate Emergency and Disaster Management program during Fall 2027. This is an 8-week, fully online, asynchronous course. Learn more about the Master of Science degree in Emergency and Disaster Management at the following website: MS Emergency and Disaster Management.
The successful candidate will bring relevant academic expertise and/or professional experience in cybersecurity, artificial intelligence, emergency management, or a related field.
This course examines the intersection of cybersecurity and emergency management, with particular emphasis on how cyber threats affect critical infrastructure, disaster preparedness, and emergency response operations. Students will explore foundational cybersecurity concepts, risk assessment methodologies, disaster response planning, and best practices for protecting digital assets during crises. The course also considers the role and potential applications of artificial intelligence in strengthening cybersecurity and supporting emergency management decision-making.
The ideal candidate will demonstrate the ability to connect theoretical concepts with practical applications, emerging technologies, and contemporary challenges in cybersecurity and emergency management.
Responsibilities
- Develop and/or teach graduate-level course content for an 8-week, online, asynchronous course.
- Integrate relevant professional experiences, case studies, and current research into course materials.
- Examine cybersecurity threats to critical infrastructure and their implications for emergency preparedness, response, and recovery.
- Address the applications, opportunities, and challenges of artificial intelligence in cybersecurity and emergency management.
- Evaluate student learning through assignments, discussions, and other appropriate assessment methods.
- Provide timely feedback and maintain regular communication with students throughout the course.
The University of St. Thomas embraces belonging and equal opportunity for all. Our convictions of dignity, diversity and personal attention call us to embody and champion an inclusive environment. The University is an Equal Employment Opportunity Employer (EEO). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran, or other protected characteristic. This commitment to inclusion and equal opportunity is consistent with our mission: Inspired by Catholic intellectual tradition, the University of St. Thomas educates students to be morally responsible leaders who think critically, act wisely, and work skillfully to advance the common good. A successful candidate will possess a commitment to the ideals of this mission.
Salary Range: $1,000-$5,600 depending on student enrollment
Initial Course Development: $4,000
QUALIFICATIONS:
Minimum Qualifications
Applicants must hold a master's degree in a relevant discipline and meet at least one of the following criteria:
- Professional experience: At least 10 years of relevant professional experience; or
- Scholarly achievement: A sustained record of scholarly achievement demonstrated by at least four academic works, such as peer-reviewed publications, books, book chapters, funded research, or other recognized scholarly contributions.
Relevant experience may include cybersecurity operations, information assurance, critical infrastructure protection, cyber risk management, emergency management, disaster response, artificial intelligence applications, or related areas.
Related Disciplines
Qualified candidates may hold degrees or demonstrate professional expertise in one or more of the following disciplines:
Cybersecurity, Computer Science, Information Technology, Information Systems, Artificial Intelligence, Data Science, Information Assurance, Cyber Operations, Emergency Management, Homeland Security, Intelligence Studies, Criminal Justice, Public Administration, Public Policy, Risk Management, Engineering, or other closely related fields.
Preferred Areas of Expertise
Preference may be given to candidates with expertise or professional experience in cybersecurity threats and risk management, critical infrastructure protection, cyber incident response and recovery, artificial intelligence applications in cybersecurity and emergency management, cybersecurity policy and governance, and the integration of technology into emergency preparedness, response, and decision-making.
Application Instructions
Applications should be submitted by December 1, 2026. The position will remain open until filled.
Interested candidates should submit a current curriculum vitae or résumé and a cover letter highlighting their relevant academic credentials, professional experience, and qualifications to teach the course.
Applicants may also include information about teaching experience, online instruction, scholarly publications, research, or other professional accomplishments. Application materials should demonstrate how the candidate’s background and expertise align with the course content and minimum qualification requirements.
The University of St. Thomas welcomes applications from qualified professionals and scholars who can bring relevant expertise and practical perspectives to graduate education in emergency and disaster management.
AI Product Engineer Job Roles in Minnesota
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Search AI Product Engineer Jobs in MinnesotaAI Product Engineer Jobs in Minnesota: Frequently Asked Questions
Which companies in Minnesota sponsor visas for AI product engineers?
UnitedHealth Group, 3M, Target, Best Buy, and Optum are among the larger Minnesota employers with established visa sponsorship programs for technical roles. Health-tech and fintech startups in the Minneapolis-Saint Paul metro also sponsor H-1B visa and other work visas for AI product engineers, particularly those with experience in applied machine learning, recommendation systems, or data pipeline architecture.
Which visa types are most common for AI product engineer roles in Minnesota?
The H-1B is the most common visa category for AI product engineers in Minnesota, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, engineering, or a related field. Candidates with Canadian or Mexican citizenship may be eligible for the TN visa under the USMCA. Those with extraordinary ability in AI may explore the O-1A category.
Which cities in Minnesota have the most AI product engineer sponsorship jobs?
Minneapolis and Saint Paul account for the large majority of AI product engineer sponsorship activity in Minnesota. The broader Twin Cities metro, including suburbs like Eden Prairie, Plymouth, and Minnetonka, hosts corporate headquarters for several Fortune 500 companies that sponsor technical talent. Rochester has a smaller but notable concentration driven by IBM and Mayo Clinic's technology and AI initiatives.
How to find ai product engineer visa sponsorship jobs in Minnesota?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify AI product engineer roles in Minnesota where employers are actively willing to sponsor. Rather than sorting through thousands of general postings, you can focus on companies in the Twin Cities and Rochester that have a documented history of sponsoring international candidates for technical and AI-focused positions.
Are there any Minnesota-specific considerations for AI product engineers seeking visa sponsorship?
Minnesota's concentration of large healthcare and retail corporations means AI product engineer roles here often sit at the intersection of machine learning and regulated industries, which can shape job requirements and sponsorship timelines. The University of Minnesota and local community colleges create strong OPT pipelines, so employers in the state are generally familiar with international hiring processes. Prevailing wage requirements apply based on the Minneapolis-Saint Paul-Bloomington metropolitan area wage data.
What is the prevailing wage for sponsored ai product engineer jobs in Minnesota?
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.