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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Accelerate the possible by joining a winning Amcor team that’s transforming the packaging industry and improving lives around the world.
At Amcor, we unpack possibility through our innovative and responsible packaging to provide solutions that benefit our customers, our people and our planet. More than 10,000 consumers worldwide encounter our products every second and rely on us for safe access to food, medicine and other goods. We value their trust by making safety our guiding principle. It’s our core value and integral to how we do business.
Beyond this core principle, our shared values and behaviors unite us as we work together to elevate customers, shape lives and protect the future. We champion our customers and help them succeed. We play to win – adapting quickly in an everchanging world – and make smart choices to safeguard our business, our communities and the people we serve for generations to come. And we invest in our world-class team, empowering our colleagues to unpack their potential, because we believe when our people grow, so does our business.
To learn more about playing for Team Amcor, visit www.amcor.com I LinkedIn I Glassdoor I Facebook I YouTube
Job Description
The Applied AI Engineer accelerates R&D innovation by applying AI solutions to improve decision making and engineering productivity across the global Flexibles R&D organization. This role identifies high-value opportunities for AI and develops scalable solutions ranging from knowledge discovery and intelligent automation to predictive modeling and decision support. Working closely with R&D, IT, Information Security, and business stakeholders, the position ensures responsible adoption, resilient solutions, and measurable business impact. The role also helps shape Amcor's R&D AI strategy by evaluating emerging technologies and identifying new ways to leverage technical knowledge, data, and insights across the organization.
WHAT YOU GET TO DO
Applied AI & Digital Innovation
- Develop and deploy AI-enabled knowledge systems that connect structured and unstructured enterprise data and R&D content, making technical information accessible and actionable
- Deliver AI-assisted decision-support capabilities — including material and construction selection and product design validation — that improve the speed, quality, and consistency of technical and business decisions
- Solve meaningful business problems — using predictive modeling, intelligent automation, knowledge systems, and generative AI solutions — selecting the right technique based on value, practicality, and scalability
- Establish testing, monitoring, and evaluation practices that keep these systems reliable, transparent, and aligned with responsible AI principles
- Evaluate emerging technologies — retrieval, generative AI, and applied machine learning — and translate them into practical applications for R&D, contributing to Amcor's long-term AI strategy
Knowledge & Data Engineering
- Build and maintain the data structures, semantic layers, metadata, and retrieval mechanisms that enable AI systems to effectively interpret, connect, and use R&D's structured and unstructured information.
- Serve as subject-matter expert in R&D systems, encoding domain knowledge — schema semantics, data relationships, units — into the AI infrastructure (model providers, data stores, orchestration and evaluation frameworks) so answers are correct rather than merely plausible
- Identify and close the data gaps that block the AI capability directly, and partner with data engineering and IT functions on general ingest and pipeline work
- Define the information architecture, knowledge-management standards, and governance approaches that ensure R&D knowledge remains machine-interpretable, reusable, and scalable across AI applications.
Cross-Functional Collaboration & Adoption
- Assess security exposure and cost before extending model access to new R&D systems and data, and work through how each capability fits into global R&D processes ahead of broader rollout
- Partner with business and other R&D functions to make advanced models, recommendations, and insights more accessible, explainable, and actionable for end users
- Work with R&D engineers to understand how design decisions are actually made, and build to that workflow rather than to a demonstration
- Drive adoption across the business groups through stakeholder engagement, change management, and clear measurement of business impact and sustained usage
- Partner with IT, Information Security and Legal on responsible AI deployment, confidential data protection, data residency and acceptable use, and across R&D and Operations, translating technical concepts into actionable recommendations for multiple audiences
WHAT WE WANT FROM YOU
- Degree in Computer Science, Data Science, Software Engineering, Engineering, Applied Mathematics or a related technical discipline; advanced degree advantageous
- 3+ years of industry experience in software engineering, data science, machine learning engineering or applied AI, including systems that ran in production
- Demonstrated experience building applied AI solutions, including large language model applications, machine learning systems, intelligent automation, or knowledge-discovery tools that achieved measurable business value and adoption
- Working familiarity with the building blocks of modern AI applications: retrieval and embeddings, prompt and context design, structured output, tool use and evaluation. Depth in several matters more than exposure to all. The emphasis is on applying commercially available technologies to business problems — generative AI, knowledge systems, intelligent automation, and other emerging capabilities — rather than developing foundation models
- Sound practical judgment regarding model limitations — hallucination, retrieval failure, evaluation — and experience designing systems that fail safely and visibly
- Understanding of polymer science, film extrusion or food-packaging interactions preferred; genuine interest in learning the domain is essential
- High proficiency in Python and SQL, including data pipelines and turning unstructured technical content into machine-usable form. Azure experience preferred
- Proven delivery of cross-functional projects with measurable business impact
- Ability to travel occasionally (<10%)
Our Expectations
We expect our people to be guided by The Amcor Way and demonstrate our Values every day to enable the business to win. We are winning when:
- Our people are engaged and developing as part of a high-performing Amcor team
- Our customers grow and prosper from Amcor’s quality, service, and innovation
- Our investors benefit from Amcor’s consistent growth and superior returns
- The environment is better off because of Amcor’s leadership and products
Equal Opportunity Employer/Minorities/Females/Disabled/Veterans/Sexual Orientation/Gender Identity
Amcor is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
If you would like more information about your EEO rights as an applicant under the law, please click on the "Know Your Rights: Workplace Discrimination is Illegal" Poster. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call 224-313-7000 and let us know the nature of your request and your contact information.
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We verify the identity and employment authorization of individuals hired for employment in the United States.
Benefits
When you join Amcor, you will have access to a comprehensive benefits and compensation package that includes:
Medical, dental and vision plans
Flexible time off, starting at 80 hours paid time per year for full-time salaried employees
Company-paid holidays starting at 8 days per year and may vary by location
Wellbeing program & Employee Assistance Program
Health Savings Account/Flexible Spending Account
Life insurance, AD&D, short-term & long-term disability, and voluntary benefits
Paid Parental Leave
Retirement Savings Plan with company match
Tuition Reimbursement (dependent upon approval)
Discretionary annual bonus program (initial eligibility dependent upon hire date)
See All 17 AI Engineer Jobs in Wisconsin
Find roles in Wisconsin that match your experience and apply in just a few clicks.
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
- Consumer Goods
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 Abbott, Amcor, and Miller and others right now, based on current listings on Migrate Mate as of November 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, Beloit, and Milwaukee 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 60% of ai engineer openings tied to Wisconsin are remote or hybrid as of November 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 17 AI Engineer Jobs in Wisconsin
Find roles in Wisconsin that match your experience and apply in just a few clicks.
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