Senior AI Software Engineer Visa Sponsorship Jobs in Minnesota
Senior AI software engineer visa sponsorship jobs in Minnesota are concentrated in the Twin Cities metro, where companies like UnitedHealth Group, Target, Best Buy, and 3M operate large technology divisions actively hiring for machine learning and AI roles. Minneapolis and Saint Paul anchor the state's growing AI engineering demand across healthcare tech, retail analytics, and financial services.
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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.
Senior AI Software Engineer Job Roles in Minnesota
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Search Senior AI Software Engineer Jobs in MinnesotaSenior AI Software Engineer Jobs in Minnesota: Frequently Asked Questions
Which companies sponsor visas for senior AI software engineers in Minnesota?
UnitedHealth Group and its Optum subsidiary are among the most active sponsors in the state, frequently hiring senior AI engineers for healthcare ML applications. Target and Best Buy sponsor for retail analytics and recommendation systems roles. 3M hires AI engineers in materials science and manufacturing applications. Mid-size companies like Cargill and U.S. Bank also maintain active sponsorship programs for experienced AI talent.
Which visa types are most common for senior AI software engineer roles in Minnesota?
The H-1B visa is the most common visa for senior AI software engineers in Minnesota, as these roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. Candidates with exceptional research records or publications may also pursue the O-1A. Australians can access the E-3 visa, and Canadian and Mexican nationals may qualify under the TN visa category for computer systems analyst roles.
Which cities in Minnesota have the most senior AI software engineer sponsorship jobs?
Minneapolis accounts for the large majority of senior AI software engineer sponsorship activity in Minnesota, driven by the headquarters of Fortune 500 companies and a dense concentration of technology offices. Saint Paul adds additional opportunities, particularly in healthcare IT and government-adjacent tech. Eden Prairie, Minnetonka, and Bloomington host suburban tech campuses where companies like UnitedHealth and Optum have significant AI engineering teams.
How to find senior ai software engineer visa sponsorship jobs in Minnesota?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to identify senior AI software engineer openings in Minnesota without sorting through roles that don't offer sponsorship. You can narrow results by state and role to surface positions at Twin Cities employers across healthcare tech, retail, and financial services. Migrate Mate's board is built for international candidates, so every listing is relevant to your sponsorship search.
Are there any Minnesota-specific considerations for senior AI software engineer visa sponsorship?
Minnesota's strong university pipeline, particularly from the University of Minnesota's computer science and AI programs, creates a talent ecosystem that shapes how local employers approach international hiring. Employers must meet Department of Labor prevailing wage requirements for the Minneapolis-Saint Paul metro area when filing Labor Condition Applications, which are tied to local wage surveys rather than national averages. Healthcare technology is the dominant industry vertical, so AI experience in regulated data environments is a notable advantage for candidates targeting Minnesota employers.
What is the prevailing wage for sponsored senior ai software 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.