AI Engineer Visa Sponsorship Jobs in Minnesota
Minnesota's AI engineer job market is anchored by major employers like UnitedHealth Group, Target, and 3M, alongside a growing tech corridor in the Twin Cities. Minneapolis and Saint Paul host the highest concentration of AI roles, with the University of Minnesota feeding strong local talent pipelines. Many of these employers have established visa sponsorship programs for qualified AI engineers.
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Get Access To All JobsJOIN TARGET AS A LEAD AI ENGINEER – ADVANCED AI
About us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
About the Role:
Target’s Advanced AI team builds end-to-end AI/ML systems that create meaningful business value across the enterprise. These systems may be powered by LLMs, classical machine learning, or deep learning models, and are designed as scalable, reliable, production-grade applications, including agentic architectures where they add clear value.
As a Lead AI Engineer for Advanced AI, you will help design, build, deploy, and maintain AI/ML applications that support automation, insight, and action across core business workflows. You will work closely with Data Scientists, engineers, product partners, platform teams, security teams, and business stakeholders to turn ambiguous business problems into practical, scalable technical solutions.
In this role, you will provide hands-on technical leadership for AI engineering initiatives. You will contribute to architecture and design decisions, evaluate appropriate models, frameworks, and tools, write maintainable production-quality code, and help establish strong engineering practices across development, testing, deployment, observability, documentation, and ongoing support. You will help ensure AI applications are secure, reliable, maintainable, and aligned to Target’s enterprise standards for infrastructure, platform architecture, data handling, and operational readiness.
You will also partner with senior engineers and engineering leaders to shape technical approaches, identify implementation risks, resolve roadblocks, and support the evolution of reusable AI engineering patterns. This role requires curiosity and continuous learning, including staying current with developments in AI, machine learning, LLMs, agentic systems, and modern software engineering practices. A successful Lead AI Engineer will help deliver production-grade AI applications that create measurable business value while raising the technical quality and capability of the broader team.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About you:
- 4-year degree in Quantitative disciplines (Science, Tech, Engineering, Mathematics) or equivalent industry experience required; MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics or a related technical field preferred.
- 5+ years end to end applied machine learning and of hands-on experience developing AI/ML applications
- Experience building LLM-powered applications, agentic systems, applied machine learning solutions, data-intensive applications or intelligent automation capabilities
- Demonstrated strong programming proficiency with Python and experience with modern AI/ML or deep learning frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel, etc.
- Experience working with model APIs, prompt orchestration, agent development patterns, retrieval-augmented generation, evaluation frameworks, observability tools, cloud ML platforms, containers or orchestration technologies
- Strong understanding of system design, application architecture, model and framework tradeoffs, experimentation, evaluation strategy, performance optimization and production deployment considerations for AI systems
- Experience building scalable, maintainable, and well-tested services, APIs, data pipelines, applications or platforms
- Experience with version control, CI/CD, code review practices, documentation, operational monitoring and production support
- Ability to translate ambiguous business problems into clear technical approaches and collaborate with cross-functional partners to deliver practical solutions
- Strong communication skills, with the ability to explain technical concepts clearly to engineers, applied data scientists, Product partners, business stakeholder and leaders
- Ability to mentor AI engineers, contribute to technical direction and raise the quality of engineering practices within the team
- Self-driven and results-oriented, with strong ownership, sound judgment and the ability to move quickly while maintaining high technical standards
- Collaborative team player with a commitment to continuous learning, knowledge sharing, and building reliable AI systems that create business value
Compensation
- The pay range is $132,000.00 - $286,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_E
Americans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 08/13/2026
JOIN TARGET AS A LEAD AI ENGINEER – ADVANCED AI
About us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
About the Role:
Target’s Advanced AI team builds end-to-end AI/ML systems that create meaningful business value across the enterprise. These systems may be powered by LLMs, classical machine learning, or deep learning models, and are designed as scalable, reliable, production-grade applications, including agentic architectures where they add clear value.
As a Lead AI Engineer for Advanced AI, you will help design, build, deploy, and maintain AI/ML applications that support automation, insight, and action across core business workflows. You will work closely with Data Scientists, engineers, product partners, platform teams, security teams, and business stakeholders to turn ambiguous business problems into practical, scalable technical solutions.
In this role, you will provide hands-on technical leadership for AI engineering initiatives. You will contribute to architecture and design decisions, evaluate appropriate models, frameworks, and tools, write maintainable production-quality code, and help establish strong engineering practices across development, testing, deployment, observability, documentation, and ongoing support. You will help ensure AI applications are secure, reliable, maintainable, and aligned to Target’s enterprise standards for infrastructure, platform architecture, data handling, and operational readiness.
You will also partner with senior engineers and engineering leaders to shape technical approaches, identify implementation risks, resolve roadblocks, and support the evolution of reusable AI engineering patterns. This role requires curiosity and continuous learning, including staying current with developments in AI, machine learning, LLMs, agentic systems, and modern software engineering practices. A successful Lead AI Engineer will help deliver production-grade AI applications that create measurable business value while raising the technical quality and capability of the broader team.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About you:
- 4-year degree in Quantitative disciplines (Science, Tech, Engineering, Mathematics) or equivalent industry experience required; MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics or a related technical field preferred.
- 5+ years end to end applied machine learning and of hands-on experience developing AI/ML applications
- Experience building LLM-powered applications, agentic systems, applied machine learning solutions, data-intensive applications or intelligent automation capabilities
- Demonstrated strong programming proficiency with Python and experience with modern AI/ML or deep learning frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel, etc.
- Experience working with model APIs, prompt orchestration, agent development patterns, retrieval-augmented generation, evaluation frameworks, observability tools, cloud ML platforms, containers or orchestration technologies
- Strong understanding of system design, application architecture, model and framework tradeoffs, experimentation, evaluation strategy, performance optimization and production deployment considerations for AI systems
- Experience building scalable, maintainable, and well-tested services, APIs, data pipelines, applications or platforms
- Experience with version control, CI/CD, code review practices, documentation, operational monitoring and production support
- Ability to translate ambiguous business problems into clear technical approaches and collaborate with cross-functional partners to deliver practical solutions
- Strong communication skills, with the ability to explain technical concepts clearly to engineers, applied data scientists, Product partners, business stakeholder and leaders
- Ability to mentor AI engineers, contribute to technical direction and raise the quality of engineering practices within the team
- Self-driven and results-oriented, with strong ownership, sound judgment and the ability to move quickly while maintaining high technical standards
- Collaborative team player with a commitment to continuous learning, knowledge sharing, and building reliable AI systems that create business value
Compensation
- The pay range is $132,000.00 - $286,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_E
Americans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 08/13/2026
AI Engineer Job Roles in Minnesota
See all 67+ AI Engineer Jobs in Minnesota
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Search AI Engineer Jobs in MinnesotaAI Engineer Jobs in Minnesota: Frequently Asked Questions
Which companies sponsor visas for AI engineers in Minnesota?
Several large Minnesota-based employers have documented histories of sponsoring work visas for AI engineers, including UnitedHealth Group, Target, 3M, and Medtronic. Financial institutions like U.S. Bancorp and regional tech consultancies also file H-1B visa petitions for AI roles. Sponsorship practices vary by company, open role, and the candidate's specific qualifications, so researching individual employer petition records is worthwhile.
Which visa types are most common for AI engineer roles in Minnesota?
The H-1B is the most common visa for AI engineers in Minnesota, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, artificial intelligence, or a related field. Candidates with Canadian or Mexican citizenship may pursue TN visa status under the USMCA. Those with exceptional research or publication records sometimes qualify for the O-1A or EB-1A categories.
Which cities in Minnesota have the most AI engineer sponsorship jobs?
The Twin Cities metro, specifically Minneapolis and Saint Paul, accounts for the large majority of AI engineer sponsorship opportunities in Minnesota. Bloomington and Minnetonka also host corporate headquarters with active technology hiring. Rochester has a smaller but notable cluster tied to Mayo Clinic's health AI initiatives. Positions outside the metro are comparatively limited, though some remote-eligible roles are based in Minnesota.
How to find ai engineer visa sponsorship jobs in Minnesota?
Migrate Mate is designed specifically for international job seekers looking for visa sponsorship opportunities, including AI engineer roles in Minnesota. You can filter by state and role to see positions where employers have indicated sponsorship willingness. Because AI engineering is a competitive field in the Twin Cities, checking Migrate Mate regularly as new roles are posted gives you the best chance of finding current openings.
Are there any Minnesota-specific considerations for AI engineers pursuing visa sponsorship?
Minnesota's AI hiring is heavily concentrated in healthcare technology, retail analytics, and financial services, so AI engineers with domain experience in those sectors tend to be more competitive with local sponsors. The University of Minnesota and its research partnerships create a strong regional pipeline, which means employers here are generally familiar with sponsoring international candidates coming out of graduate programs. Prevailing wage determinations for AI engineer roles follow Department of Labor guidelines based on the Minneapolis-Saint Paul metropolitan statistical area.
What is the prevailing wage for sponsored ai 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.