AI Engineer Jobs in Minnesota
AI Engineer jobs in Minnesota concentrate heavily in financial services, healthcare technology, and enterprise software, with the Twin Cities metro anchoring the state's most active hiring market and secondary demand in Rochester and Duluth. Companies like UnitedHealth Group, Target, and 3M maintain deep AI and machine learning teams in Minnesota and hire consistently across seniority levels from junior ML practitioners to principal engineers. The most in-demand specialties are large language model development, MLOps and model deployment, and computer vision applied to healthcare and retail data. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 43+ AI Engineer jobs
About Us:
DailyPay is the leader in On-Demand Pay, helping employers modernize how people get their pay. DailyPay serves more than 1,900 employers and over 6 million employees, including many of the world's most recognized brands. By providing real-time access to earned pay and financial wellness tools, DailyPay helps employees manage their finances and helps employers attract and retain talent. DailyPay is helping define the future of pay, where money moves at the speed of work.. Learn more at DailyPay's Press Center.
Role
As an AI Solutions Engineer, you will be at the heart of our mission to integrate AI into the processes and workflows serving DailyPay. Situated directly within DailyPay's Engineering organization, you will empower other departments to create AI-based solutions and act as their premier "go-to" technical leader.
In this cross-functional role, you work with domain experts to capture workflows as skills, uncover workflow bottlenecks, and build the custom software, scripts, and model integrations needed to bring DailyPay’s AI strategy to life. By bridging the gap between enterprise-grade AI engineering and daily business unit execution, you will raise the bar for engineering excellence and ensure our technology directly translates into enhanced financial wellness for our users.
How You Will Make an Impact
Discover and Build: Embedded across departments to shadow domain experts to uncover workflows and pain points, design and ship automation (MVPs, custom scripts, API integrations), and mature solutions into managed, durable agents.
Own Outcomes: Define metrics with stakeholders, track adoption and ROI, and prioritize projects based on feasibility, risk, and business value.
Build Reliable AI Systems: Design, build, evaluate, and operate AI workflows; implement evaluation frameworks, guardrails, observability, and feedback loops.
Be the resident expert: Serve as the on-the-ground authority for AI questions. Help non-technical teams evaluate, configure, and get more out of the AI features already sitting in their existing SaaS stack.
Elevate AI literacy: Mentor peers in AI development, build learnings into reusable documentation and training, and demo emerging AI capabilities to inspire many across the company.
Enrich Engineering: Steer hosted harness and local harness development with the distilled problems, prototypes, and established workflows created with various departments.
Optimize AI Performance and Cost: Benchmark model performance, optimize prompt/token usage, manage API latency, and monitor operational costs to keep AI applications efficient and scalable as usage grows.
Promote safe and responsible usage: Ensure department-level AI work adheres to company policy on data privacy, security, and ethical use.
What You Bring to the Team
Software Engineering Foundation: 3+ years of professional software development experience, featuring strong proficiency in Go or JavaScript (ideally both) and standard engineering practices (version control, testing).
Practical AI/LLM Implementation: Hands-on experience building, or contributing to applications with Large Language Models (LLMs) or managing complex workflows using AI tools. Has a deep understanding of managing larger AI-powered projects including agent design, skills, context, and memory.
Platform Communications: Experienced in working with APIs and MCPs of typical company platforms like Jira, Github, or Salesforce
Consultative Communication Skills: Exceptional ability to translate complex machine learning and engineering concepts into plain, business-friendly language for non-technical stakeholders.
Business Acumen & Problem Solving: Proven track record of analyzing business operations, formulating technical requirements from vague problems, and prioritizing solutions based on ROI.
Cross-Functional Adaptability & EQ: High emotional intelligence with a demonstrated comfort working autonomously inside non-technical departments, building trust as a collaborative peer rather than a rigid IT gatekeeper.
What We Offer:
Exceptional health, vision, and dental care
Opportunity for equity ownership
Life and AD&D, short- and long-term disability
Employee Assistance Program
Employee Resource Groups
Fun company outings and events
Unlimited PTO
401K with company match
High-performing cultures aren't built in silos, they thrive on partnership. At DailyPay, we Commit Together to an inclusive, professional environment where multifaceted perspectives are our greatest competitive advantage. We recognize that our team members don’t live “single-issue lives,” and we lean into the wide-ranging backgrounds and life stages that sharpen our collective decision-making.
In our high-trust environment, we empower you to Challenge Norms. We’ve created a space where it is safe to ask difficult questions, disrupt the status quo, and share bold perspectives without fear of professional fallout. We believe that by checking our own assumptions and staying curious about the experiences of others, we arrive at better, more innovative results.
We provide the space for you to do your best work through peer advocacy and transparent career development. If you are looking for a culture that values intellectual honesty, celebrates the unique lived experiences of its people, and thrives on collective success, you’ll find it here.
If you require reasonable accommodation for any aspect of the recruitment process, please send a request to peopleops@dailypay.com. All requests for accommodation will be addressed as confidentially as practicable.
DailyPay is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion or creed, alienage or citizenship status, political affiliation, marital or partnership status, age, national origin, ancestry, physical or mental disability, medical condition, veteran status, gender, gender identity, pregnancy, childbirth (or related medical conditions), sex, sexual orientation, sexual and other reproductive health decisions, genetic disorder, genetic predisposition, carrier status, military status, familial status, or domestic violence victim status and any other basis protected under federal, state, or local laws.
Compensation Range: $136K - $209K
About Us:
DailyPay is the leader in On-Demand Pay, helping employers modernize how people get their pay. DailyPay serves more than 1,900 employers and over 6 million employees, including many of the world's most recognized brands. By providing real-time access to earned pay and financial wellness tools, DailyPay helps employees manage their finances and helps employers attract and retain talent. DailyPay is helping define the future of pay, where money moves at the speed of work.. Learn more at DailyPay's Press Center.
Role
As an AI Solutions Engineer, you will be at the heart of our mission to integrate AI into the processes and workflows serving DailyPay. Situated directly within DailyPay's Engineering organization, you will empower other departments to create AI-based solutions and act as their premier "go-to" technical leader.
In this cross-functional role, you work with domain experts to capture workflows as skills, uncover workflow bottlenecks, and build the custom software, scripts, and model integrations needed to bring DailyPay’s AI strategy to life. By bridging the gap between enterprise-grade AI engineering and daily business unit execution, you will raise the bar for engineering excellence and ensure our technology directly translates into enhanced financial wellness for our users.
How You Will Make an Impact
Discover and Build: Embedded across departments to shadow domain experts to uncover workflows and pain points, design and ship automation (MVPs, custom scripts, API integrations), and mature solutions into managed, durable agents.
Own Outcomes: Define metrics with stakeholders, track adoption and ROI, and prioritize projects based on feasibility, risk, and business value.
Build Reliable AI Systems: Design, build, evaluate, and operate AI workflows; implement evaluation frameworks, guardrails, observability, and feedback loops.
Be the resident expert: Serve as the on-the-ground authority for AI questions. Help non-technical teams evaluate, configure, and get more out of the AI features already sitting in their existing SaaS stack.
Elevate AI literacy: Mentor peers in AI development, build learnings into reusable documentation and training, and demo emerging AI capabilities to inspire many across the company.
Enrich Engineering: Steer hosted harness and local harness development with the distilled problems, prototypes, and established workflows created with various departments.
Optimize AI Performance and Cost: Benchmark model performance, optimize prompt/token usage, manage API latency, and monitor operational costs to keep AI applications efficient and scalable as usage grows.
Promote safe and responsible usage: Ensure department-level AI work adheres to company policy on data privacy, security, and ethical use.
What You Bring to the Team
Software Engineering Foundation: 3+ years of professional software development experience, featuring strong proficiency in Go or JavaScript (ideally both) and standard engineering practices (version control, testing).
Practical AI/LLM Implementation: Hands-on experience building, or contributing to applications with Large Language Models (LLMs) or managing complex workflows using AI tools. Has a deep understanding of managing larger AI-powered projects including agent design, skills, context, and memory.
Platform Communications: Experienced in working with APIs and MCPs of typical company platforms like Jira, Github, or Salesforce
Consultative Communication Skills: Exceptional ability to translate complex machine learning and engineering concepts into plain, business-friendly language for non-technical stakeholders.
Business Acumen & Problem Solving: Proven track record of analyzing business operations, formulating technical requirements from vague problems, and prioritizing solutions based on ROI.
Cross-Functional Adaptability & EQ: High emotional intelligence with a demonstrated comfort working autonomously inside non-technical departments, building trust as a collaborative peer rather than a rigid IT gatekeeper.
What We Offer:
Exceptional health, vision, and dental care
Opportunity for equity ownership
Life and AD&D, short- and long-term disability
Employee Assistance Program
Employee Resource Groups
Fun company outings and events
Unlimited PTO
401K with company match
High-performing cultures aren't built in silos, they thrive on partnership. At DailyPay, we Commit Together to an inclusive, professional environment where multifaceted perspectives are our greatest competitive advantage. We recognize that our team members don’t live “single-issue lives,” and we lean into the wide-ranging backgrounds and life stages that sharpen our collective decision-making.
In our high-trust environment, we empower you to Challenge Norms. We’ve created a space where it is safe to ask difficult questions, disrupt the status quo, and share bold perspectives without fear of professional fallout. We believe that by checking our own assumptions and staying curious about the experiences of others, we arrive at better, more innovative results.
We provide the space for you to do your best work through peer advocacy and transparent career development. If you are looking for a culture that values intellectual honesty, celebrates the unique lived experiences of its people, and thrives on collective success, you’ll find it here.
If you require reasonable accommodation for any aspect of the recruitment process, please send a request to peopleops@dailypay.com. All requests for accommodation will be addressed as confidentially as practicable.
DailyPay is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion or creed, alienage or citizenship status, political affiliation, marital or partnership status, age, national origin, ancestry, physical or mental disability, medical condition, veteran status, gender, gender identity, pregnancy, childbirth (or related medical conditions), sex, sexual orientation, sexual and other reproductive health decisions, genetic disorder, genetic predisposition, carrier status, military status, familial status, or domestic violence victim status and any other basis protected under federal, state, or local laws.
Compensation Range: $136K - $209K
See All 43 AI Engineer Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find AI Engineer JobsAI Engineer Jobs by City in Minnesota
Where Minnesota roles are concentrated, by current openings.
AI Engineer Job Market in Minnesota
A snapshot from current Minnesota openings, updated as new roles post.
Who's Hiring
- Target10
- Optum6
- Nextek3
- Thomson Reuters3
- Boston Scientific2
Top Industries Hiring
- Retail
- Accounting & Auditing
- Investment & Asset Management
- Consulting & Professional Services
What Minnesota Employers Look For
The qualifications that appear most often in AI engineer jobs across Minnesota.
- Bachelor's or master's degree in computer science, data science, or a related field
- Hands-on experience building and deploying machine learning or deep learning models
- Proficiency in Python and familiarity with frameworks such as TensorFlow or PyTorch
- Experience with cloud platforms, particularly AWS, Azure, or Google Cloud AI services
- Ability to work with large datasets using SQL, Spark, or distributed computing tools
- Strong communication skills for presenting model results to non-technical stakeholders
AI Engineer Jobs in Minnesota: Frequently Asked Questions
How do you become a ai engineer in Minnesota?
AI engineering in Minnesota has no state-issued license or registration requirement, so the path runs through education and demonstrated skills. Most Minnesota employers expect at least a bachelor's degree in computer science, data science, or a closely related field, with a master's degree preferred at larger companies like UnitedHealth Group or Target. Building a portfolio of deployed models, contributing to open-source projects, and earning vendor certifications from AWS or Google Cloud strengthens a Minnesota application considerably.
Which companies hire ai engineers in Minnesota?
Companies currently hiring ai engineers in Minnesota include Target, Optum, and Nextek, per current listings on Migrate Mate as of September 2026. Minnesota's concentration of Fortune 500 headquarters in finance, retail, and healthcare means demand is spread across large enterprise teams rather than a single dominant industry.
Which Minnesota cities have the most ai engineer jobs?
Brooklyn Park, Minneapolis, and Eagan hold the most ai engineer openings in Minnesota. The Twin Cities metro drives the majority of demand because it is home to the headquarters and major technology campuses of companies in financial services, retail, and health insurance, while Rochester's concentration of healthcare institutions, anchored by Mayo Clinic, creates a distinct cluster of AI roles focused on clinical data and medical imaging.
Are there remote ai engineer jobs in Minnesota?
Yes, and more than most fields. About 90% of ai engineer openings tied to Minnesota are remote or hybrid as of September 2026, reflecting that the work is largely software-based and does not require a physical presence. Model development, experimentation, and research roles are the most consistently offered as fully remote, while roles involving close collaboration with embedded product teams tend to be hybrid.
How can I get hired as a ai engineer in Minnesota with little or no experience?
The most realistic entry path is through a machine learning or data analyst role at a large Minnesota employer that has an internal rotation or upskilling program. UnitedHealth Group and Target both run technology associate programs that accept recent graduates and move them into AI-adjacent work. Building a public portfolio on GitHub with end-to-end ML projects, completing a cloud AI certification, and applying to data analyst or ML engineer associate titles are the concrete steps that open doors in the Minnesota market.
Where can I find and apply to ai engineer jobs in Minnesota?
You can find and apply to ai engineer jobs in Minnesota on Migrate Mate, which lists current Minnesota openings updated regularly. Search the roles available, find the ones that match your background and preferences, and apply directly to the employers posting them.
See All 43 AI Engineer Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find AI Engineer Jobs