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Manager Artificial Intelligence Jobs in Wisconsin

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 ... Collaborates cross-functionally with product management, platform teams, and stakeholders to guide ...

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 ... Collaborates cross-functionally with product management, platform teams, and stakeholders to guide ...

Revature LLC

WI · On-site

$90 - $120/hr

The role is for a Senior Trainer - Artificial Intelligence & Machine Learning to deliver our ... Cloud AI Integration: deploying and managing systems on AWS (SageMaker), Azure ML, or GCP Vertex AI.

Healthcareis

WI · On-site

$120 - $150/hr

Establish a data science program for Artificial Intelligence and Machine Learning. * Manage the data management budget and systems initiatives. * Provide reports on key metrics to executives. * Lead ...

Qualysoft

$66.25 - $87.25/hr

Very good knowledge in the field of Artificial Intelligence, Machine Learning and Generative AI ... Strong communication and stakeholder management skills Nice to Have * Experience in the ...

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All JobsArtificial Intelligence JobsManager Artificial Intelligence JobsManager Artificial Intelligence Jobs in Wisconsin

Manager Artificial Intelligence information

See Wisconsin salary details

$26.5K

$124K

$182.2K

How much do manager artificial intelligence jobs pay per year?

As of Sep 5, 2026, the average yearly pay for manager artificial intelligence in Wisconsin is $124,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,030.00 and $160,711.00 per year, depending on experience, location, and employer.

What does a manager of artificial intelligence do?

A Manager of Artificial Intelligence oversees teams and projects that develop and implement AI solutions within an organization. Their responsibilities include setting strategic goals for AI initiatives, managing budgets and timelines, coordinating with other departments, and ensuring that AI systems are aligned with business objectives. They also stay updated on the latest advancements in AI technologies and ensure ethical standards and compliance are maintained. This role requires both technical knowledge of AI and strong leadership skills to guide multidisciplinary teams.

What are the key skills and qualifications needed to thrive as a manager of artificial intelligence?

To thrive as a Manager of Artificial Intelligence, you need a strong background in computer science, machine learning, and data analytics, often supported by advanced degrees and experience in AI project leadership. Familiarity with AI frameworks such as TensorFlow or PyTorch, experience with cloud platforms, and certifications like AWS Certified Machine Learning are typically valued. Strong leadership, strategic thinking, and effective communication are vital soft skills for guiding teams and aligning projects with business goals. These skills ensure successful development and deployment of AI solutions that drive organizational value and innovation.

How does a manager of artificial intelligence typically collaborate with cross-functional teams within an organization?

A Manager of Artificial Intelligence frequently works alongside data scientists, engineers, product managers, and business stakeholders to align AI initiatives with organizational goals. They facilitate communication between technical and non-technical teams, ensuring that project requirements are clearly understood and that AI solutions support broader business strategies. This collaborative environment often involves regular meetings, progress updates, and joint problem-solving sessions to address challenges and optimize outcomes.

What is the difference between Manager Artificial Intelligence vs Data Scientist?

AspectManager Artificial IntelligenceData Scientist
CredentialsMaster's or PhD in AI, Computer Science, or related fieldsMaster's or PhD in Data Science, Statistics, or related fields
Work EnvironmentLeads AI projects, manages teams, collaborates with stakeholdersAnalyzes data, develops models, interprets results
Industry UsageUsed in organizations deploying AI solutions, tech companies, R&DUsed across industries for data analysis, predictive modeling

The main difference is that a Manager Artificial Intelligence oversees AI projects and teams, focusing on strategy and implementation, while a Data Scientist primarily analyzes data and builds models. Managers handle leadership and project management, whereas Data Scientists focus on technical analysis and model development.

What is the highest paying job in artificial intelligence?

The highest paying roles in artificial intelligence are often senior positions such as AI Director, Chief AI Officer, or AI Research Scientist at leading tech companies, with salaries exceeding $200,000 annually. These roles typically require advanced degrees, extensive experience, and expertise in machine learning, deep learning, and data science tools.

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 Manager Artificial Intelligence jobs in Wisconsin?

For Manager Artificial Intelligence jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Manager Artificial Intelligence jobs in Wisconsin look for?

The top searched job categories for Manager Artificial Intelligence jobs in Wisconsin are:

What cities in Wisconsin are hiring for Manager Artificial Intelligence jobs?

Cities in Wisconsin with the most Manager Artificial Intelligence job openings:

Manager Artificial Intelligence jobs near you
Infographic showing various Manager Artificial Intelligence job openings in Wisconsin as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $124,030 per year, or $59.6 per hour.

Artificial Intelligence Engineer III

Insperity

Madison, WI • On-site

$58 - $77.75/hr

Full-time

Medical, Dental, Vision, PTO

Re-posted 7 days ago

Insperity rating

7.4

Company rating: 7.4 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

222nd of 500 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.

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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.

Industry

Software development

Company size

1,001 - 5,000 Employees

Headquarters location

Houston, TX, US

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