Software Engineer AI Jobs in Wisconsin
Software Engineer AI jobs in Wisconsin are seeing strong and growing demand, with the heaviest concentration in enterprise software, healthcare technology, and financial services firms anchored in Milwaukee, Madison, and the greater Green Bay corridor. Major employers with lasting Wisconsin footprints, including Fiserv, Epic Systems, and Northwestern Mutual, regularly recruit for roles at every level from early-career to principal engineer. The most sought-after specialties are machine learning engineering, natural language processing, and AI-integrated product development. Scan the live roles below and apply to whichever ones fit.
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Fairbanks Morse Technology | Beloit, WI
Build Intelligent Technology. Solve Real-World Challenges. Make an Impact.
What if the AI you build could help predict equipment failures before they happen, uncover the root cause of complex problems, and help keep U.S. Navy ships mission-ready?
At Fairbanks Morse Technology, part of Fairbanks Morse Defense, we're developing advanced technology solutions that bring together artificial intelligence, machine learning, software engineering, automation, and Industrial IoT. We're looking for an AI/ML Software Engineer who wants to turn innovative ideas into production-ready products that solve meaningful, real-world problems.
This is an opportunity to do more than build models or write code. You'll take ownership of the full development lifecycle—from understanding customer challenges and designing solutions to building applications, deploying machine learning capabilities, and connecting insights to actionable outcomes.
Your work will help advance predictive maintenance, equipment health monitoring, anomaly detection, and root-cause analysis, beginning with U.S. Navy shipboard equipment. You'll help shape solutions designed to scale across equipment platforms, customers, and future applications.
If you enjoy solving complex problems, building complete products, and seeing your work move from concept to real-world use, we'd like to meet you.
What You'll Build and Accomplish
- Turn ideas into working products. Partner with customers, engineers, and stakeholders to understand their needs, define requirements, and translate them into practical technical solutions.
- Own the full software development lifecycle. Design and build complete applications spanning backend services, APIs, data pipelines, databases, and user interfaces.
- Make equipment smarter. Develop and deploy machine learning solutions for predictive maintenance, anomaly detection, time-series analysis, and root-cause identification.
- Connect intelligence to action. Build workflows that turn insights into recommended maintenance, work orders, guided troubleshooting, or automated responses.
- Design for scale and reuse. Create modular, maintainable software architectures that can expand to new equipment, customers, and applications without starting over.
- Bring AI closer to the equipment. Integrate software with sensors, controllers, industrial data systems, and third-party platforms, including environments that operate without continuous network connectivity.
- Build with AI, responsibly. Use AI-powered coding assistants to accelerate development while maintaining strong standards for code quality, testing, security, and data protection.
- Deliver secure, dependable solutions. Incorporate cybersecurity, automated testing, documentation, and CI/CD practices throughout development, including applicable NIST, STIG, and Risk Management Framework requirements.
- Own the outcome. Demonstrate working solutions, communicate technical trade-offs, and keep customers and leadership informed as products evolve.
We're looking for an engineer who combines strong software development fundamentals with hands-on machine learning experience and the ability to take a product from an initial idea to a working solution.
Required qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Data Science, a related technical field, or equivalent practical experience.
- Five or more years of professional software development experience, including delivering complete applications from requirements through deployment.
- Demonstrated ability to turn ambiguous customer needs into clearly defined requirements and tested, working software.
- Strong Python development skills and proficiency in at least one additional language, such as C#, TypeScript/JavaScript, Java, or C++.
- Experience building REST APIs, data pipelines, databases, and web-based user interfaces.
- Hands-on experience applying machine learning in production, such as anomaly detection, classification, or time-series analysis, using frameworks such as scikit-learn, PyTorch, or TensorFlow.
- Experience using AI coding assistants effectively, with sound judgment around testing, code review, and protection of sensitive information.
- Familiarity with Git, CI/CD, Docker, and a major cloud platform; Azure experience is preferred.
- Strong communication skills and the ability to explain technical decisions to customers, engineers, and business leaders.
- Ability to work independently, adapt to changing priorities, and deliver results in a fast-paced environment.
You don't need to have worked in every one of these areas. Experience in one or more can help you make an immediate impact.
- Predictive maintenance, condition-based maintenance (CBM+), prognostics, or equipment health monitoring.
- Large language models (LLMs), retrieval-augmented generation (RAG), or agentic AI workflows.
- Industrial automation, sensor data, PLCs, OPC UA, Modbus, MQTT, or other industrial communication protocols.
- U.S. Navy, Department of Defense, or other defense-related technology programs.
- Secure cloud development, Azure Government Cloud, cybersecurity compliance, NIST, STIG, or RMF.
- Edge computing, embedded systems, or deploying software in disconnected environments.
- Cross-platform mobile development, including .NET MAUI.
Build technology with a purpose. Contribute to solutions that support the reliability and readiness of U.S. Navy equipment and other critical applications.
Own more than a piece of the project. Work across requirements, architecture, application development, machine learning, testing, and deployment.
Solve challenging engineering problems. Bring together software, AI, industrial systems, and equipment data in environments where reliability and security matter.
See your work come to life. Develop practical products that move beyond prototypes and connect machine intelligence with real operational needs.
Help shape what's next. Contribute to an evolving technology organization focused on AI, automation, smart engineering, and advanced IoT solutions.
Important Employment Requirement
This position requires access or potential access to Unclassified Naval Nuclear Propulsion Information (NOFORN). To meet this requirement, candidates must provide acceptable proof of U.S. citizenship and attest that they do not hold dual citizenship.
Acceptable proof of U.S. citizenship includes a U.S. passport, U.S. birth certificate, or naturalization certificate.
This is a full-time, on-site position based in Beloit, Wisconsin.
Ready to Build What's Next?
If you're an experienced software engineer who enjoys applying machine learning to complex, real-world challenges—and wants to build intelligent products with a meaningful mission—we invite you to explore this opportunity with Fairbanks Morse Technology and Fairbanks Morse Defense.
Mission-Driven. Honor-Bound. Fairbanks Morse Defense. What's your calling?
See All 7 Software Engineer AI Jobs in Wisconsin
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Where Wisconsin roles are concentrated, by current openings.
Software Engineer AI Job Market in Wisconsin
A snapshot from current Wisconsin openings, updated as new roles post.
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What Wisconsin Employers Look For
The qualifications that appear most often in software engineer AI jobs across Wisconsin.
- Bachelor's or master's degree in computer science, AI, or a related engineering field
- Proficiency in Python and at least one ML framework such as TensorFlow or PyTorch
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms, particularly AWS, Azure, or Google Cloud, for AI workloads
- Strong understanding of data pipelines, feature engineering, and model evaluation techniques
- Ability to collaborate with cross-functional product and data science teams on AI-driven features
Software Engineer AI Jobs in Wisconsin: Frequently Asked Questions
How do you become a software engineer ai in Wisconsin?
Most software engineer ai roles in Wisconsin do not require a state-issued license, so the path runs through education and demonstrated technical skill. Employers typically look for a bachelor's degree in computer science, data science, or a closely related field, followed by hands-on experience with machine learning tools. Wisconsin's strong university programs at UW-Madison and Milwaukee School of Engineering are recognized starting points, and a portfolio of deployed AI projects strengthens any application considerably.
How much do software engineer AIs make in Wisconsin?
Software engineer AIs in Wisconsin earn a median of about $122,660 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,710 for the lowest 10% to over $168,630 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire software engineer ais in Wisconsin?
Companies currently hiring software engineer ais in Wisconsin include Emplify Health, Miller, and Accenture, per current listings on Migrate Mate as of November 2026. Wisconsin's mix of large financial technology firms, healthcare IT companies, and insurance carriers creates a steady and varied pipeline of AI engineering openings across the state.
Which Wisconsin cities have the most software engineer ai jobs?
Wisconsin, Beloit, and Appleton lead Wisconsin for software engineer ai openings. Milwaukee drives volume through its concentration of financial technology and insurance headquarters, Madison benefits from Epic Systems and the university research ecosystem, and the Green Bay area contributes through regional healthcare networks and manufacturing technology firms that are increasingly building out AI capabilities.
Are there remote software engineer ai jobs in Wisconsin?
Yes, and more than most fields. About 40% of software engineer ai openings tied to Wisconsin are remote or hybrid as of November 2026, reflecting how naturally the work fits distributed teams. The most fully remote positions tend to involve model development, research engineering, and MLOps work, where daily collaboration is asynchronous and output is measured through deployed systems rather than on-site presence.
How can I get hired as a software engineer ai 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 new graduates. Epic Systems, Fiserv, and Northwestern Mutual run structured early-career technical programs that accept candidates without professional AI experience if they bring strong coursework and project portfolios. Moving laterally from a software engineering or data analyst role within the same company is also a common route, and completing a recognized ML certification alongside a GitHub portfolio of end-to-end projects gives candidates a meaningful edge in Wisconsin hiring processes.
Where can I find and apply to software engineer ai jobs in Wisconsin?
You can find and apply to software engineer ai jobs in Wisconsin on Migrate Mate, which lists current Wisconsin openings across industries and experience levels. Search the available roles, identify the ones that match your background and preferences, and apply directly to whichever positions fit your situation.
See All 7 Software Engineer AI Jobs in Wisconsin
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