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Intelligence Jobs in Madison, WI (NOW HIRING)

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 ...

BI Visualization Engineer

Oregon, WI · On-site

$104K - $174K/yr

Compensation Grade:157 Traditionally, storytelling and data aren't thought to go hand in hand, but our new business intelligence visualization engineer will be a champion of both. In this role, you ...

Showing results 21-40

Intelligence information

See Madison, WI salary details

$45.9K

$105.5K

$145.1K

How much do intelligence jobs pay per year?

As of Sep 12, 2026, the average yearly pay for intelligence in Madison, WI is $105,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $119,400.00 per year, depending on experience, location, and employer.

What is intelligence?

Intelligence jobs involve collecting, analyzing, and interpreting information to support national security, law enforcement, or corporate decision-making. Professionals in this field may work for government agencies, military branches, or private organizations. Their work includes researching threats, monitoring communications, and producing reports that help leaders make informed decisions. Roles can vary from field operations to data analysis and cyber intelligence.

What skills and qualifications are needed to work in intelligence?

To excel as an Intelligence Analyst, you need strong analytical thinking, research proficiency, attention to detail, and often a relevant degree in international relations, criminal justice, or a related field. Familiarity with intelligence databases, data analysis software, and sometimes security clearance or certifications like Certified Intelligence Analyst (CIA) are common requirements. Exceptional communication skills, discretion, and adaptability help you collaborate effectively and present complex findings clearly. These abilities are vital for producing accurate intelligence that informs critical decision-making and national security initiatives.

What challenges do professionals in intelligence roles face, and how can they be addressed?

Professionals in intelligence roles often encounter challenges such as managing sensitive information, staying current with rapidly evolving technologies, and operating under tight deadlines. Balancing the need for discretion with effective collaboration across departments is crucial. To address these challenges, it's important to cultivate strong analytical skills, maintain robust communication with team members, and commit to ongoing professional development through training and certifications. Developing resilience and adaptability also helps intelligence professionals navigate the dynamic and sometimes high-pressure environment.

What is the difference between Intelligence vs Data Analyst?

AspectIntelligenceData Analyst
Required CredentialsOften requires degrees in intelligence studies, security, or related fields; certifications like CISSP or security clearancesTypically requires degrees in statistics, computer science, or related fields; certifications like CAP, Microsoft Data Analyst
Work EnvironmentGovernment agencies, defense, intelligence community; often in secure or classified settingsCorporate, consulting, or government sectors; office or remote work
Employer & Industry UsagePrimarily in national security, defense, and intelligence agenciesBusiness, finance, healthcare, and technology sectors

Intelligence professionals focus on gathering, analyzing, and interpreting information related to national security and defense, often working in secure environments. Data Analysts analyze data to help organizations make informed decisions, working across various industries. While both roles involve analysis, Intelligence emphasizes security and strategic insights, whereas Data Analysts focus on data-driven decision-making in commercial settings.

What are careers in intelligence?

Careers in intelligence involve gathering, analyzing, and interpreting information to support national security, law enforcement, or corporate objectives. Common roles include intelligence analyst, operations officer, and cybersecurity specialist, often requiring security clearances and specialized training. These jobs typically involve working in government agencies, military, or private sector organizations focused on security and strategic decision-making.

What jobs are there in intelligence?

Jobs in intelligence include roles such as intelligence analyst, intelligence officer, and surveillance specialist. These positions often require strong analytical skills, security clearances, and knowledge of intelligence tools and methods. They are typically found in government agencies, military organizations, and private security firms.

What are the most commonly searched types of Intelligence jobs in Madison, WI?

The most popular types of Intelligence jobs in Madison, WI are:

What job categories do people searching Intelligence jobs in Madison, WI look for?

The top searched job categories for Intelligence jobs in Madison, WI are:

What cities near Madison, WI are hiring for Intelligence jobs?

Cities near Madison, WI with the most Intelligence job openings:

Infographic showing various Intelligence job openings in Madison, WI as of September 2026, with employment types broken down into 83% Full Time, 11% Part Time, 4% Contract, and 2% Nights. Highlights an 91% In-person, 3% Hybrid, and 6% Remote job distribution, with an average salary of $105,457 per year, or $50.7 per hour.

Artificial Intelligence Engineer III

Madison, WI

Insperity
Software Development • 1 - 5K employees

$58 - $77.75/hr

Full-time

Medical, Dental, Vision, PTO

Re-posted 14 days ago


Insperity rating

7.4

Company rating: 7.4 out of 10

Based on 35 frontline employees who took The Breakroom Quiz


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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