Software Engineer AI Visa Sponsorship Jobs in Minnesota
Minnesota's AI-driven software engineering roles are concentrated in the Twin Cities, where companies like UnitedHealth Group, Target, and 3M actively hire for machine learning and AI engineering positions. The state's growing health tech and retail analytics sectors create steady demand for international talent, with Minneapolis and Saint Paul anchoring most sponsorship activity.
Find Software Engineer AI JobsOverview
Showing 5 of 216+ Software Engineer AI Jobs in Minnesota with Visa Sponsorship
See all 216+ Software Engineer AI Jobs in Minnesota with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Engineer AI Jobs in Minnesota with Visa Sponsorship.
Get Access To All JobsOVERVIEW:
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.
Software Engineer AI Job Roles in Minnesota
See all 216+ Software Engineer AI Jobs in Minnesota
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Software Engineer AI Jobs in MinnesotaSoftware Engineer AI Jobs in Minnesota: Frequently Asked Questions
Which companies sponsor visas for software engineer AIs in Minnesota?
UnitedHealth Group, Target, Best Buy, 3M, and Medtronic are among the most active H-1B visa sponsors for AI and machine learning engineering roles in Minnesota. Large enterprise technology teams and health informatics divisions within these companies have consistent hiring patterns for international engineers. Smaller AI-focused startups in the Twin Cities also sponsor visas, though less frequently than established employers.
Which visa types are most common for software engineer AI roles in Minnesota?
The H-1B is the most common visa for software engineer AI roles in Minnesota, as these positions typically require a bachelor's degree or higher in computer science, data science, or a related field, qualifying them as specialty occupations. Candidates already holding F-1 status with OPT or STEM OPT authorization can work without employer sponsorship initially, buying time to secure H-1B sponsorship.
Which cities in Minnesota have the most software engineer AI sponsorship jobs?
Minneapolis and Saint Paul account for the vast majority of AI software engineering sponsorship opportunities in Minnesota. Minneapolis concentrates the largest share, driven by corporate headquarters in finance, retail, and health technology. Bloomington and Minnetonka, both part of the greater Twin Cities metro, host significant employer campuses as well. Rochester has emerging opportunities tied to IBM and the Mayo Clinic health AI ecosystem.
How to find software engineer ai visa sponsorship jobs in Minnesota?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse software engineer AI roles in Minnesota without wading through positions that don't sponsor. You can filter by state and role type to surface relevant openings at Minnesota-based employers. This is particularly useful given that AI engineering sponsorship opportunities here are concentrated among a specific set of large employers rather than broadly distributed.
Are there state-specific factors that affect AI software engineer visa sponsorship hiring in Minnesota?
Minnesota's sponsorship activity in AI engineering is heavily shaped by its health technology and retail analytics industries, which means many roles involve domain-specific AI work rather than general software development. Employers must pay H-1B workers the prevailing wage as determined by the Department of Labor for the Minneapolis-Saint Paul metropolitan area. The University of Minnesota also feeds a strong local pipeline of AI talent, which influences how competitive sponsorship roles can be.
What is the prevailing wage for sponsored software engineer ai 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.