AI ML Engineering Visa Sponsorship Jobs in Wisconsin
Wisconsin's AI and ML engineering market is anchored by Epic Systems in Verona, American Family Insurance in Madison, and a growing cluster of tech employers in the Milwaukee metro. Madison's university research ecosystem and proximity to Chicago make it a regional draw for international talent seeking visa sponsorship in machine learning, NLP, and data-driven product engineering.
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Get Access To All JobsINTRODUCTION
Paradigm is a software company transforming the way that the residential construction & building product industries operate across the globe. We are looking for a Director, Applied AI & ML Engineering to be part of revolutionizing these industries.
The Director, Applied AI & ML Engineering will lead the strategy, architecture, and deployment of intelligent systems that transform how homes are designed, estimated, and built. This role will drive the integration of AI and machine learning across the residential construction lifecycle—from digital plan understanding and takeoffs to automated estimating, material optimization, and design personalization.
The ideal leader blends technical depth with strategic clarity—able to guide teams across computer vision, large language models, and agentic automation while ensuring reliable, scalable delivery within the construction domain.
ROLE AND RESPONSIBILITIES:
- Define and lead the Applied AI & ML strategy for residential construction, identifying and prioritizing use cases that enhance speed, accuracy, and efficiency.
- Build and maintain a roadmap of agentic AI systems that automate key construction workflows—such as plan interpretation, quantity takeoffs, cost estimation, and material specification optimization, while enabling seamless integration with suppliers, ERP platforms, and technology providers.
- Partner with Product, Engineering, and Operations leaders to embed AI capabilities into core platforms and customer-facing applications.
- Lead the design of AI-powered and multi-agent systems that connect workflows across design, estimating, procurement, and field execution.
- Architect retrieval-augmented generation (RAG) and computer vision pipelines that interpret plan sets, generate takeoffs, and surface contextual insights.
- Combine LLMs, CV, and rule-based logic to deliver explainable and auditable systems tailored to construction professionals.
- Ensure architectural scalability, performance, and observability in all deployed systems.
- Oversee the end-to-end ML lifecycle—from experimentation and model development to deployment, monitoring, and iteration.
- Implement best practices in MLOps, data management, and continuous delivery pipelines.
- Deliver measurable improvements in model quality, reasoning accuracy, and cost efficiency through advanced evaluation methods, such as Evals, zero- and few-shot benchmarking, Chain-of-Thought, and LLM-as-a-judge techniques to guide continuous model refinement.
- Build, mentor, and lead a cross-functional team of applied AI and ML engineers, partnering closely with product, design, and software engineering teams to deliver production-grade AI-powered systems.
- Foster a culture of collaboration, experimentation, and responsible AI development.
- Manage vendor relationships and technology partnerships across cloud and AI platforms.
- Collaborate with design, estimating, and operations teams to identify automation opportunities and ensure successful adoption.
- Translate complex AI concepts into clear direction for business and product stakeholders.
- Represent the organization’s AI vision in external partnerships, technical forums, and industry collaborations.
BASIC QUALIFICATIONS:
- 12+ years of experience in applied AI, ML, and/or Software engineering, with at least 5 years in a leadership role.
- Bachelor’s or advanced degree in Computer Science, Machine Learning, or a related field preferred.
- Proven success designing and deploying AI-driven systems in production environments.
- Expertise in LLMs, computer vision, multimodal models, and retrieval-augmented generation (RAG) architectures.
- Strong foundation in modern software engineering—including APIs, microservices, CI/CD, and containerization.
- Hands-on familiarity with ML platforms such as MLflow, Kubeflow, or SageMaker for model training and deployment.
- Demonstrated ability to collaborate across engineering, product, and operations in a complex technical environment.
- Excellent written and verbal communication skills for both technical and executive audiences.
- Experience in residential construction technology, including estimating, takeoffs, or design automation is preferred.
- Background in BIM/CAD integration, digital twin platforms, or 3D modeling workflows is preferred.
- Familiarity with agent orchestration frameworks (Temporal, n8n, LangGraph) and enterprise API integration is preferred.
- Understanding of AI governance, auditability, and human-in-the-loop validation frameworks is preferred.
- Experience with Azure, AWS, or GCP cloud platforms for scalable AI deployment is preferred.
Ready to Join? Apply now! MyParadigm.com/careers/
Paradigm
INTRODUCTION
Paradigm is a software company transforming the way that the residential construction & building product industries operate across the globe. We are looking for a Director, Applied AI & ML Engineering to be part of revolutionizing these industries.
The Director, Applied AI & ML Engineering will lead the strategy, architecture, and deployment of intelligent systems that transform how homes are designed, estimated, and built. This role will drive the integration of AI and machine learning across the residential construction lifecycle—from digital plan understanding and takeoffs to automated estimating, material optimization, and design personalization.
The ideal leader blends technical depth with strategic clarity—able to guide teams across computer vision, large language models, and agentic automation while ensuring reliable, scalable delivery within the construction domain.
ROLE AND RESPONSIBILITIES:
- Define and lead the Applied AI & ML strategy for residential construction, identifying and prioritizing use cases that enhance speed, accuracy, and efficiency.
- Build and maintain a roadmap of agentic AI systems that automate key construction workflows—such as plan interpretation, quantity takeoffs, cost estimation, and material specification optimization, while enabling seamless integration with suppliers, ERP platforms, and technology providers.
- Partner with Product, Engineering, and Operations leaders to embed AI capabilities into core platforms and customer-facing applications.
- Lead the design of AI-powered and multi-agent systems that connect workflows across design, estimating, procurement, and field execution.
- Architect retrieval-augmented generation (RAG) and computer vision pipelines that interpret plan sets, generate takeoffs, and surface contextual insights.
- Combine LLMs, CV, and rule-based logic to deliver explainable and auditable systems tailored to construction professionals.
- Ensure architectural scalability, performance, and observability in all deployed systems.
- Oversee the end-to-end ML lifecycle—from experimentation and model development to deployment, monitoring, and iteration.
- Implement best practices in MLOps, data management, and continuous delivery pipelines.
- Deliver measurable improvements in model quality, reasoning accuracy, and cost efficiency through advanced evaluation methods, such as Evals, zero- and few-shot benchmarking, Chain-of-Thought, and LLM-as-a-judge techniques to guide continuous model refinement.
- Build, mentor, and lead a cross-functional team of applied AI and ML engineers, partnering closely with product, design, and software engineering teams to deliver production-grade AI-powered systems.
- Foster a culture of collaboration, experimentation, and responsible AI development.
- Manage vendor relationships and technology partnerships across cloud and AI platforms.
- Collaborate with design, estimating, and operations teams to identify automation opportunities and ensure successful adoption.
- Translate complex AI concepts into clear direction for business and product stakeholders.
- Represent the organization’s AI vision in external partnerships, technical forums, and industry collaborations.
BASIC QUALIFICATIONS:
- 12+ years of experience in applied AI, ML, and/or Software engineering, with at least 5 years in a leadership role.
- Bachelor’s or advanced degree in Computer Science, Machine Learning, or a related field preferred.
- Proven success designing and deploying AI-driven systems in production environments.
- Expertise in LLMs, computer vision, multimodal models, and retrieval-augmented generation (RAG) architectures.
- Strong foundation in modern software engineering—including APIs, microservices, CI/CD, and containerization.
- Hands-on familiarity with ML platforms such as MLflow, Kubeflow, or SageMaker for model training and deployment.
- Demonstrated ability to collaborate across engineering, product, and operations in a complex technical environment.
- Excellent written and verbal communication skills for both technical and executive audiences.
- Experience in residential construction technology, including estimating, takeoffs, or design automation is preferred.
- Background in BIM/CAD integration, digital twin platforms, or 3D modeling workflows is preferred.
- Familiarity with agent orchestration frameworks (Temporal, n8n, LangGraph) and enterprise API integration is preferred.
- Understanding of AI governance, auditability, and human-in-the-loop validation frameworks is preferred.
- Experience with Azure, AWS, or GCP cloud platforms for scalable AI deployment is preferred.
Ready to Join? Apply now! MyParadigm.com/careers/
Paradigm
AI ML Engineering Job Roles in Wisconsin
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Search AI ML Engineering Jobs in WisconsinAI ML Engineering Jobs in Wisconsin: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Wisconsin?
Epic Systems, American Family Insurance, Northwestern Mutual, Exact Sciences, and Fetch Rewards are among Wisconsin employers with documented H-1B visa sponsorship activity for technical roles. Epic in particular hires machine learning engineers at scale at its Verona campus. Larger employers in the Madison and Milwaukee metros are generally more likely to have established sponsorship processes than smaller startups.
Which visa types are most common for AI ML engineering roles in Wisconsin?
The H-1B is the most common visa for AI and ML engineers in Wisconsin, as these roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT extension may work for a sponsoring employer before H-1B status begins. O-1A is an option for engineers with demonstrated exceptional ability.
Which cities in Wisconsin have the most AI ML engineering sponsorship jobs?
Madison is the strongest market, driven by Epic Systems, the University of Wisconsin-Madison's research commercialization activity, and a growing startup scene. Milwaukee is the second hub, with financial services firms like Northwestern Mutual and ManpowerGroup investing in AI capabilities. Verona, immediately west of Madison, is effectively an extension of that market given Epic's headquarters there.
How to find ai ml engineering visa sponsorship jobs in Wisconsin?
Migrate Mate lets you filter AI and ML engineering jobs specifically by visa sponsorship availability and state, so you can browse Wisconsin-based roles without manually vetting each employer. Given that sponsorship willingness varies significantly by company size and HR infrastructure in Wisconsin, using a platform like Migrate Mate that screens for sponsoring employers saves considerable time for international candidates targeting this market.
Are there any Wisconsin-specific considerations for AI ML engineers seeking visa sponsorship?
Wisconsin's university pipeline, particularly from UW-Madison's computer science and statistics programs, means employers here are accustomed to hiring international graduates with OPT work authorization. The state has no dedicated tech visa incentive program, so sponsorship depends entirely on individual employer policy. AI and ML roles in Wisconsin's dominant industries, including insurance, healthcare IT, and financial services, tend to require domain knowledge alongside core ML skills.
What is the prevailing wage for sponsored ai ml engineering jobs in Wisconsin?
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.