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Generative Ai Developer Jobs in Wisconsin (NOW HIRING)

Springs Window Fashions and Affiliated Companies

WI · On-site

$130 - $160/hr

Develop and operationalize generative AI applications leveraging large language models (LLMs ... Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for ...

Johnson Controls

Ai Engineer

Milwaukee, WI

Develop and deploy Generative AI systems and LLM-powered applications (e.g., GPT, Claude, LLaMA ... Apply prompt engineering, fine-tuning, and orchestration techniques to adapt foundation models for ...

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

Develop and deploy Generative AI systems and LLM-powered applications (e.g., GPT, Claude, LLaMA ... Apply prompt engineering, fine-tuning, and orchestration techniques to adapt foundation models for ...

LRS

AI Developer

Milwaukee, WI · On-site

$80 - $110/hr

Codeworks, an LRS company, is seeking a forward-thinking AI-Driven Software Developer to help build ... In some cases, Codeworks, an LRS company, uses generative artificial intelligence ("AI") in support ...

Springs Window Fashions

Senior AI Engineer

Middleton, WI

$107K - $147K/yr

The Sr AI Engineer is a hands-on technical leader who ships enterprise-scale AI into production and ... Build and operationalize generative AI applications using large language models (LLMs), retrieval ...

Springs Window Fashions

Senior AI Engineer

Middleton, WI

$107K - $147K/yr

The Sr AI Engineer is a hands-on technical leader who ships enterprise-scale AI into production and ... Build and operationalize generative AI applications using large language models (LLMs), retrieval ...

Springs Window Fashions

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

The Sr AI Engineer is a hands-on technical leader who ships enterprise-scale AI into production and ... Build and operationalize generative AI applications using large language models (LLMs), retrieval ...

EM Key Solutions Inc

AI Engineer

Oregon, WI · On-site

$120 - $190/hr

Design and develop AI‑powered applications using Large Language Models (LLMs), Generative AI, and ... Familiarity with Git, Azure DevOps, CI/CD, Docker, and cloud‑native development. * Strong ...

Qualysoft

$52.75 - $72.75/hr

For a challenging AI and data transformation project with a client in the telecommunications sector, we are looking for an experienced Python Developer - Generative AI / RAG (m/f/d) in Vienna. The ...

JDA Software

WI · On-site

$132 - $190/hr

... DevOps, and advisory teams to identify high-value AI use cases and ensure successful delivery ... Strong hands-on experience designing and building AI/ML or Generative AI applications in production ...

New

EM Key Solutions Inc

Temporary AI Engineer

Oregon, WI · On-site

$120 - $170/hr

Design and develop AI-powered applications using Large Language Models (LLMs), Generative AI, and ... Familiarity with Git, Azure DevOps, CI/CD, Docker, and cloud‑native development. * Strong ...

DataRobot, Inc.

WI · On-site

$165 - $225/hr

DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. This is a fully remote AI Engineer role on our Professional Services team ...

Keka Technologies Private Limited

WI · On-site

$150 - $210/hr

Design and deploy AI, Machine Learning, Generative AI, and Agentic AI solutions. * Build scalable AI platforms, MLOps processes, and governance frameworks. * Collaborate with product, engineering ...

Centric Software, Inc.

WI · On-site

$140 - $210/hr

Position overview We are seeking a Senior Frontier AI Deployment Engineer to bridge product, engineering, and business stakeholders as we design and deliver production-oriented generative AI ...

Beacon Technologies

Senior AI Engineer

Green Bay, WI · On-site

$140 - $190/hr

Generative AI and Machine Learning Development: * Implement and integrate generative AI models and ... Collaborate with engineers and data scientists to build and deploy scalable AI-driven features.

New

Netherlands

WI · On-site

$120 - $180/hr

Are you a versatile AI engineer who sees technology as a means to solve real business problems--not ... generative AI, machine learning, statistical modeling, or something entirely different. You'll ...

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All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Wisconsin

Generative Ai Developer information

See Wisconsin salary details

$19

$45

$101

How much do generative ai developer jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for generative ai developer in Wisconsin is $45.71, according to ZipRecruiter salary data. Most workers in this role earn between $23.80 and $55.34 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What are popular job titles related to Generative Ai Developer jobs in Wisconsin?

For Generative Ai Developer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Generative Ai Developer jobs in Wisconsin look for?

The top searched job categories for Generative Ai Developer jobs in Wisconsin are:

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Wisconsin as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $95,081 per year, or $45.7 per hour.

Senior AI Engineer

Springs Window Fashions and Affiliated Companies

WI • On-site

$130 - $160/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Position Summary

The Sr AI Engineer serves as a technical leader responsible for enterprise-scale AI architecture, solution governance, and advanced AI engineering practices. This role drives strategic AI adoption and mentors engineering teams across the organization. This role will partner closely with Information Technology, business stakeholders, operations, customer service, product development, and analytics teams to deliver scalable AI capabilities that improve efficiency, enhance customer experiences, and enable data-driven decision making.

The ideal candidate combines strong software engineering fundamentals with practical expertise in machine learning, generative AI, data engineering, automation, and cloud technologies. This individual must be comfortable operating in a fast-paced, transformation-oriented environment and capable of translating business problems into production-ready AI solutions.

Key Responsibilities
  • Design, build, deploy, and maintain enterprise AI and machine learning solutions.
  • Develop and operationalize generative AI applications leveraging large language models (LLMs), retrieval-augmented generation (RAG), copilots, and intelligent automation.
  • Partner with business leaders to identify high-value AI use cases aligned to strategic priorities.
  • Build scalable AI pipelines, APIs, and integrations with enterprise platforms and business applications.
  • Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for AI initiatives.
  • Develop AI-enabled analytics and predictive models supporting manufacturing, supply chain, customer service, sales, and operations.
  • Implement AI governance, model monitoring, security, and responsible AI practices.
  • Optimize model performance, scalability, reliability, and operational efficiency.
  • Evaluate emerging AI technologies and recommend enterprise adoption strategies.
  • Support AI experimentation, rapid prototyping, and innovation initiatives across the organization.
  • Create technical documentation, operational procedures, and knowledge transfer materials.
  • Mentor technical teams and promote AI engineering best practices.
Requirements

Required

  • Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
  • Advanced degree in Artificial Intelligence, Machine Learning, or Data Science preferred.
  • 8-10+ years overall technology experience
  • 5+ years focused in AI/ML engineering
  • Proven experience deploying enterprise-scale AI systems
  • Experience leading technical teams or major initiatives
  • Strong experience with AI architecture and distributed systems
  • Experience operationalizing generative AI at scale
  • Executive communication capability

Preferred

  • Experience with Microsoft Copilot, Azure OpenAI, or enterprise generative AI platforms.
  • Manufacturing, supply chain, consumer products, or retail industry experience.
  • Experience with MLOps, vector databases, orchestration frameworks, and AI observability platforms.
  • Familiarity with data visualization and analytics platforms such as Power BI or Tableau.
  • Experience leading enterprise AI transformation initiatives.
  • AI governance frameworks
  • FinOps for AI workloads
  • Multi-cloud AI strategy
  • Experience building internal AI platforms or copilots
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