1

Ai Computer Science Jobs in Madison, WI (NOW HIRING)

Temporary AI Engineer

Oregon, WI ยท On-site

$120 - $170/hr

AI Engineer Temporary Assignment (through 2/13/2027) Remote, USA; potential for minimal ad hoc ... Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or ...

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field ... Demonstrated understanding of ethical considerations in AI systems. * 3+ years of project ...

Sr. Engineer, AI Platform

Madison, WI ยท On-site

$99K - $198K/yr

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field ... Demonstrated understanding of ethical considerations in AI systems. * 3+ years of project ...

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field ... Demonstrated understanding of ethical considerations in AI systems. * 3+ years of project ...

Showing results 21-40

Ai Computer Science information

See Madison, WI salary details

$50.9K

$112.2K

$138.5K

How much do ai computer science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for ai computer science in Madison, WI is $112,192.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,200.00 and $138,000.00 per year, depending on experience, location, and employer.

What is AI in computer science?

AI, or Artificial Intelligence, in computer science refers to the simulation of human intelligence by machines, especially computer systems. It involves creating algorithms and software that allow computers to perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and language understanding. AI encompasses various subfields, including machine learning, natural language processing, robotics, and computer vision. The goal of AI is to build systems that can function autonomously and improve over time through experience.

What are the typical challenges faced when working on AI projects within a computer science team?

One common challenge in AI computer science roles is managing the balance between research and practical implementation. Teams often face difficulties with limited or imperfect datasets, ensuring models generalize well beyond training data, and integrating AI solutions into existing systems. Collaboration with data engineers, domain experts, and product managers is crucial to ensure the developed AI solutions align with business objectives and user needs. Additionally, staying updated with rapidly evolving AI technologies and addressing ethical considerations are ongoing parts of the role.

What are the key skills and qualifications needed to thrive as an AI computer scientist, and why are they important?

To thrive as an AI Computer Scientist, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree or higher qualifications. Proficiency in programming languages such as Python, experience with AI frameworks like TensorFlow or PyTorch, and familiarity with data analysis tools are essential. Critical thinking, creativity, and strong collaboration skills help drive innovation and effective problem-solving in cross-functional teams. These competencies are vital for developing advanced AI solutions and ensuring their successful real-world application.

What is the difference between Ai Computer Science vs Data Scientist?

AspectAi Computer ScienceData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; certifications in AI/MLBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentResearch labs, tech companies, AI startupsBusiness environments, analytics teams, tech firms
Industry UsageDeveloping AI algorithms, machine learning models, AI systemsAnalyzing data, building predictive models, data visualization

Ai Computer Science focuses on developing AI algorithms and systems, often requiring advanced technical skills in machine learning and programming. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles involve machine learning, Ai Computer Science is more research and development-oriented, whereas Data Scientists focus on applying data analysis techniques to solve business problems.

What are the most commonly searched types of Ai Computer Science jobs in Madison, WI?

The most popular types of Ai Computer Science jobs in Madison, WI are:

Infographic showing various Ai Computer Science job openings in Madison, WI as of August 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 76% In-person, 6% Hybrid, and 18% Remote job distribution, with an average salary of $112,192 per year, or $53.9 per hour.

Director of Artificial Intelligence (AI)

Farm Systems

Madison, WI โ€ข On-site

Full-time

Posted 12 days ago


Job description

URUS is a global family of agricultural businesses operating across more than 80 countries. Through genetics, reproduction technologies, animal health solutions, and precision management platforms, we help producers make better decisions and build more productive, sustainable herds.ย 

We're entering an exciting next stage in our AI journey and are looking for a Director of Artificial Intelligence to build and lead our enterprise AI capability. Reporting to the SVP of Digital & AI, this leader will establish the structure, team, governance, and priorities that enable URUS to turn AI opportunities into meaningful business outcomes across our global organization.

What You'll Do

  • Build and lead URUS's enterprise AI capability and growing multidisciplinary AI team.

  • Define and execute the enterprise AI strategy, roadmap, operating model, and governance framework.

  • Establish a structured process for identifying, evaluating, and prioritizing AI opportunities across the organization.

  • Partner with business leaders to turn high-value opportunities into scalable AI solutions.

  • Lead initiatives from discovery and pilot through production, adoption, and measurable business impact.

  • Provide technical direction across generative AI, agentic AI, predictive analytics, computer vision, automation, and emerging capabilities.

  • Guide AI platform, vendor, and build/buy/partner decisions.

  • Establish responsible AI standards and appropriate controls around privacy, security, risk, and governance.

  • Manage AI investments and ensure resources are focused on opportunities with the greatest potential value.

  • Build AI understanding and adoption across the organization through education, experimentation, and change leadership.

What You Bring

  • 10+ years of progressive experience across AI, data, digital transformation, product, technology, or enterprise transformation.

  • 5+ years leading AI, data, analytics, automation, or digital product initiatives.

  • Demonstrated experience building, scaling, or transforming an enterprise technology or AI capability.

  • Proven leadership experience, including building teams and leading complex cross-functional initiatives.

  • Experience taking AI or advanced analytics solutions from concept through production and adoption.

  • Strong working knowledge of modern AI/ML, including generative AI, LLMs, agentic AI, predictive analytics, and enterprise AI platforms.

  • Experience establishing governance, prioritization, and value-tracking processes.

  • Strong business judgment and the ability to connect technology investments to measurable business outcomes.

  • Executive-level communication and the ability to lead change across a complex organization.

  • Bachelor's degree in computer science, data science, business, engineering, or a related field.

An MBA or advanced technical degree is strongly preferred. Experience in agriculture, dairy, genetics, animal health, or precision livestock technology is a plus.

Why URUS?

This is an opportunity to build, not simply maintain.

URUS has strong executive sponsorship for AI, a growing pipeline of opportunities, and the commitment to build an internal AI center of excellence. You'll have the opportunity to shape the team, strategy, operating model, technology choices, governance, and portfolio that define how AI creates value across our global organization.

If you've helped an organization turn emerging technology into a scalable business capability and are excited by the opportunity to build what's next, we'd like to hear from you.

As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS.ย  Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.