AI Engineer Jobs in Wisconsin
AI Engineer jobs in Wisconsin are concentrated in Milwaukee, Madison, and Green Bay, where employers like Northwestern Mutual, Epic Systems, and Oshkosh Corporation maintain active hiring programs for this role. Demand is strongest in machine learning engineering, natural language processing, and AI model deployment, with openings at both the mid-level and senior end of the market. Wisconsin's financial services, healthcare technology, and advanced manufacturing sectors are among the most active drivers of this hiring. Scan the live roles below and apply to whichever ones fit.
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We are now looking for a Field Applications Engineer! NVIDIA’s AI platforms have already made a major impact on the field and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest enterprise companies. We need passionate, hardworking, and creative people to help us continue to bring groundbreaking enterprise solutions to the world. This Field Applications Engineering role is for a specialist in system design, networking and leader to our customers who believe that artificial intelligence is a new computing revolution and has the potential to transform the industry.
NVIDIA is seeking an outstanding FAE with a focus on datacenter system and network design for AI computing. Your primary responsibilities will be onsite technical engagement for large datacenter deployments of NVIDIA AI computing systems. Your role will involve working across functions within our organizations while also ensuring a positive experience for external customers.
You must be a U.S. Citizen to apply for this position.
What you’ll be doing:
Provide onsite support for large datacenter deployments of NVIDIA AI solutions.
Solving complex hardware and deployment issues
Be a technical specialist on GPU and networking products directly supporting sales account managers, working closely with the team to deliver outstanding AI datacenter solutions.
Actively establish the technical relationship with our customer’s engineers, management, and architects at focus accounts.
Identify customer architectures and key product requirements in the enterprise AI market.
Provide technical and sales training to the direct sales team and channel partners.
Establish positive relationships and communication channels with internal teams.
Up to 30% travel may be required.
What we need to see:
BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).
5+ years of work-related experience in the high-tech electronics industry in a system design role or technical customer support role.
In-depth knowledge of servers, storage systems, network devices, and other data center hardware
Capable of working in a constantly evolving environment without losing focus.
Ability to multitask optimally in a multifaceted environment.
Expert analytical and problem-solving skills.
Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very sophisticated projects.
Ways to stand out from the crowd:
Experience with large-scale rollouts of datacenter equipment.
Networking knowledge - TCP/IP, RDMA, RoCE, NICs, Switches, etc.
Embedded Linux System, APIs, and similar embedded OS knowledge.
Experience working with OEMs in the industrial, military, and ruggedized computing space.
Knowledge of HVAC and cooling systems for thermal management, power distribution, cabling, and rack layout as well as CPU Architecture knowledge
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.See All 18 AI Engineer Jobs in Wisconsin
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Find AI Engineer JobsAI Engineer Jobs by City in Wisconsin
Where Wisconsin roles are concentrated, by current openings.
AI Engineer Job Market in Wisconsin
A snapshot from current Wisconsin openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Education
- Consumer Goods
- Manufacturing
- Accounting & Auditing
- Technology & Software
What Wisconsin Employers Look For
The qualifications that appear most often in AI engineer jobs across Wisconsin.
- Bachelor's or master's degree in computer science, data science, or a related field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience building, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI workloads
- Strong understanding of data pipelines, feature engineering, and model evaluation techniques
- Ability to communicate AI findings and model behavior clearly to non-technical stakeholders
AI Engineer Jobs in Wisconsin: Frequently Asked Questions
How do you become a ai engineer in Wisconsin?
AI engineering in Wisconsin does not require a state-issued license, so the path runs through education and demonstrated technical skills. Most employers expect at least a bachelor's degree in computer science, mathematics, or a closely related field, with a master's degree preferred for senior roles. Building a portfolio of machine learning projects and earning recognized certifications in cloud AI platforms strengthens a Wisconsin application considerably.
Which companies hire ai engineers in Wisconsin?
Wisconsin ai engineer roles are posted by Rockwell Automation, Springs Window Fashions, and University of Wisconsin–Madison and others right now, based on current listings on Migrate Mate as of July 2026. Wisconsin's concentration of financial services firms, health technology companies, and large manufacturing operations means demand for applied AI talent is spread across several distinct industries rather than a single sector.
Which Wisconsin cities have the most ai engineer jobs?
Madison, Milwaukee, and Wisconsin are the Wisconsin cities with the most ai engineer openings. Milwaukee leads because of its large financial services and insurance employers, Madison draws heavily from Epic Systems and the University of Wisconsin research ecosystem, and Green Bay's advanced manufacturing and logistics companies have expanded their data and AI teams in recent years.
Are there remote ai engineer jobs in Wisconsin?
Yes, and more than most fields. About 82% of ai engineer openings tied to Wisconsin are remote or hybrid as of July 2026, reflecting how naturally this work fits a distributed setting. Model development, experimentation, and code review tend to be the most remote-friendly parts of the role, while production deployment and stakeholder collaboration are more commonly done on a hybrid schedule.
How can I get hired as a ai engineer in Wisconsin with little or no experience?
The most realistic entry path is a junior or associate machine learning engineer role, which several large Wisconsin employers post specifically for recent graduates. Epic Systems in Madison and Northwestern Mutual in Milwaukee both run structured early-career technology programs that place candidates without industry experience into applied AI and data engineering teams. Building a public portfolio of machine learning projects and earning a cloud AI certification gives a Wisconsin applicant a clear edge in the screening process.
Where can I find and apply to ai engineer jobs in Wisconsin?
You can find and apply to ai engineer jobs in Wisconsin on Migrate Mate, which lists current Wisconsin openings. Search the roles that match your background and experience level, then apply directly to the ones that fit.
See All 18 AI Engineer Jobs in Wisconsin
Find roles in Wisconsin that match your experience and apply in just a few clicks.
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