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Artificial Intelligence Jobs in Wisconsin (NOW HIRING)

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence ...

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence ...

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence ...

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence ...

Bechtle

$50.50 - $69.25/hr

Dabei entwickelst und integrierst du innovative AI-Lösungen mit Schwerpunkt auf Microsoft Azure Cloud Services wie OpenAI, AI-Foundry, Document Intelligence und Cognitive Services für konkrete ...

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All JobsArtificial Intelligence JobsArtificial Intelligence Jobs in Wisconsin

Artificial Intelligence information

See Wisconsin salary details

$11.1K

$103.9K

$134.2K

How much do artificial intelligence jobs pay per year?

As of Aug 7, 2026, the average yearly pay for artificial intelligence in Wisconsin is $103,901.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $133,700.00 per year, depending on experience, location, and employer.

What is the job outlook for careers in artificial intelligence?

The job outlook for careers in artificial intelligence is excellent. Over the next few decades, AI is expected to grow explosively as it becomes capable of accomplishing more tasks. With this growth comes the need for information technology experts to determine how and where to implement artificial intelligence at various companies. The United States Bureau of Labor Statistics expects computer occupations to increase by about 13% between 2016 and 2026. This is almost twice the average growth rate for all trades. Not all of these jobs involve artificial intelligence, but many of them do, and that number should increase over time.

What are some common challenges faced by professionals working in artificial intelligence roles, and how can they be addressed?

Professionals in Artificial Intelligence often face challenges such as keeping up with rapidly evolving technologies, managing large and complex datasets, and ensuring the ethical use of AI systems. Collaboration with data engineers, domain experts, and ethicists is crucial to overcome these hurdles. Continuous learning through courses, workshops, and industry conferences helps AI specialists stay updated, while strong communication skills aid in translating technical findings for stakeholders and integrating AI solutions effectively into business processes.

What is the difference between Artificial Intelligence vs Data Scientist?

AspectArtificial IntelligenceData Scientist
Required CredentialsTypically degrees in Computer Science, AI, or related fields; certifications in machine learning or AI toolsDegrees in Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work EnvironmentResearch labs, tech companies, AI startups, often focused on developing algorithms and modelsBusiness environments, analytics firms, tech companies, focusing on data analysis and insights
Employer & Industry UsageUsed across tech, healthcare, finance, and automotive industries for developing intelligent systemsUsed in finance, marketing, healthcare, and tech for data analysis, predictive modeling, and decision support

Artificial Intelligence professionals focus on creating intelligent systems and algorithms, while Data Scientists analyze data to extract insights. Both roles require strong technical skills, but AI emphasizes developing models, whereas Data Scientists focus on interpreting data to inform decisions.

More about Artificial Intelligence jobs
What are the most commonly searched types of Artificial Intelligence jobs in Wisconsin? The most popular types of Artificial Intelligence jobs in Wisconsin are:
What are popular job titles related to Artificial Intelligence jobs in Wisconsin? For Artificial Intelligence jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence jobs in Wisconsin look for? The top searched job categories for Artificial Intelligence jobs in Wisconsin are:
What cities in Wisconsin are hiring for Artificial Intelligence jobs? Cities in Wisconsin with the most Artificial Intelligence job openings:
Artificial Intelligence jobs near you
Infographic showing various Artificial Intelligence job openings in Wisconsin as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $103,901 per year, or $50 per hour.

Artificial Intelligence Engineer III

Insperity

Madison, WI • On-site

$58 - $77.75/hr

Full-time

Medical, Dental, Vision, PTO

Re-posted 8 days ago

Insperity rating

7.9

Company rating: 7.9 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

132nd of 482 rated business services

Job description

Insperity provides the most comprehensive suite of scalable HR solutions available in the marketplace with an optimal blend of premium HR service and technology. With more than 90 locations throughout the U.S., Insperity is currently making a difference for thousands of businesses and communities nationwide.
Behind our success is the unshakeable belief in the value of our people. We value diversity, inclusivity and a sense of belonging. We celebrate work and life events, and we partner with our clients and communities to make great things happen.
We've earned recognition time and again as a top place to work-named among the best by respected organizations like Glassdoor and U.S. News & World Report. We're also proud to be recognized for one of the country's Top 50 Midsize Early Talent Programs through RippleMatch's Campus Forward Awards. There's never been a better time to be part of Insperity, and our best work is still ahead. Learn more at Insperity.com.
Why Insperity?
Flexibility: Over 80% of Insperity's jobs have flexibility. We want your time to have balance, whether it's spent with coworkers, clients, family or your community.
Career Growth: Insperity provides many ways to grow with the company. We offer continuous learning programs, mentorship opportunities and ongoing training.
Well-Being: Our total rewards package includes generous paid time off, top-tier medical, dental and vision benefits, health & wellness support, paid volunteer hours and much more. We take care of our people so that you can do your best work.
We are seeking an Artificial Intelligence Engineer III to join our team
Summary:
This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence systems that address ambiguous and high impact business problems. This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The AI Engineer III operates with a high degree of autonomy, making architectural and technical decisions while ensuring solutions are reliable, measurable, secure, and aligned with enterprise AI standards.
Responsibilities:
  • Designs and owns end-to-end AI solutions, including LLM-based applications, classical machine learning models, and hybrid approaches.
  • Builds and operates complex AI systems such as agentic workflows, retrieval-augmented generation (RAG) platforms, and decision-support solutions.
  • Evaluates ambiguous business problems and determines appropriate AI patterns, modeling techniques, and system architectures.
  • Defines and implements evaluation strategies, metrics, and feedback loops to measure model effectiveness and business impact.
  • Leads the development of data pipelines, feature strategies, and evaluation datasets required to support AI systems.
  • Owns production readiness, including performance, reliability, cost, observability, and failure handling.
  • Identifies and mitigates risks related to bias, hallucination, data leakage, and unintended AI behavior.
  • Collaborates cross-functionally with product management, platform teams, and stakeholders to guide solution design and delivery.
  • Mentors and provides technical guidance to other team members.
  • Contributes to the establishment and evolution of AI engineering standards, patterns, and best practices.

Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent practical experience.
  • Five or more years of professional experience spanning software engineering, data science, machine learning engineering, or AI system development.
  • Advanced proficiency in software engineering, including Python, APIs, testing, and system design.
  • Advanced proficiency in one or more large scale data platform such as Snowflake, Databricks, Amazon Redshift, Microsoft Synapse, or similar.
  • Strong applied knowledge of machine learning and artificial intelligence concepts, evaluation techniques, and failure modes.
  • Hands-on experience designing, building, and deploying LLM based systems using enterprise grade platforms and frameworks.
  • Experience with one or more AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar.
  • Deep understanding of data quality, feature relevance, and model behavior across structured and unstructured data.
  • Experience deploying, monitoring, and iterating on AI systems in production environments.
  • Ability to make and defend technical tradeoff decisions balancing accuracy, cost, risk, and scalability.
  • Strong communication and leadership skills, with the ability to influence technical direction and mentor others.

This job specification should not be construed to imply that these requirements are the exclusive standards of the position. Incumbent will follow any other instructions, and perform any other related duties, as may be required by the supervisor.
At Insperity, we celebrate the diversity of our employees and our leadership. Insperity is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

What Insperity employees say

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About Insperity

Sourced by ZipRecruiter

Take care of your people Insperity has a long history of improving the success equation of small and midsize businesses across the country – because when businesses succeed, communities prosper. And in today’s changing business environment, it’s our privilege to take care of an organization’s most valuable asset: its people.

Company size

1,001 - 5,000 Employees

Headquarters location

Houston, TX, US

Year founded

1986

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