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Ai Implementation Jobs in Madison, WI (NOW HIRING)

Farm Systems

Senior AI/ML Engineer

Watertown, WI

$99K - $136K/yr

Establish KPIs, track progress from the current to 100% adoption, implement interventions to ... Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ...

Urus

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

Establish KPIs, track progress from the current to 100% adoption, implement interventions to ... Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ...

AgSource

Senior AI/ML Engineer

Watertown, WI

$99K - $136K/yr

Establish KPIs, track progress from the current to 100% adoption, implement interventions to ... Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ...

Imedica

Senior AI Engineer

Madison, WI · On-site

$113K - $194K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design, implement and deploy AI pipelines, systems and platforms - from evaluation design and benchmarking through product integration-ensuring performance, reliability and end-to-end safety and ...

Medica Services Company LLC

Senior AI Engineer

Madison, WI · On-site

$113K - $194K/yr

Design, implement and deploy AI pipelines, systems and platforms - from evaluation design and benchmarking through product integration-ensuring performance, reliability and end-to-end safety and ...

micro1 AI

Cheminformatics Specialist - Remote

Madison, WI · Remote

$80 - $110/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

micro1 AI

Bioinformatics Software Engineer

Madison, WI · Remote

$80 - $110/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

Medica

Senior AI Engineer

Madison, WI · On-site

$113K - $194K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design, implement and deploy AI pipelines, systems and platforms - from evaluation design and benchmarking through product integration-ensuring performance, reliability and end-to-end safety and ...

Munich Re

Technical Architect - Data, Analytics & AI

Madison, WI · Hybrid

$64.25 - $82.50/hr

  • Medical

  • Life

  • Retirement

  • PTO

... and implementations. * Identify technologyrelated business pain points by mapping business ... Define and govern enterprise AI architecture standards , including model lifecycle management ...

Mead & Hunt

Director of Data & AI Enablement

Madison, WI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As the Director of Data & AI Enablement, you will play a key role in shaping the organization ... Experience implementing data governance and data quality programs * Demonstrated ability to lead ...

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Showing results 21-40

All JobsAi Implementation JobsAi Implementation Jobs in Madison, WI

Ai Implementation information

See Madison, WI salary details

$39.3K

$104.3K

$169.3K

How much do ai implementation jobs pay per year?

As of Aug 18, 2026, the average yearly pay for ai implementation in Madison, WI is $104,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,100.00 and $121,900.00 per year, depending on experience, location, and employer.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What are popular job titles related to Ai Implementation jobs in Madison, WI?

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Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in Madison, WI as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $104,308 per year, or $50.1 per hour.

AI & Machine Learning Developer

Johnson Health Tech Companies

Cottage Grove, WI • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 10 days ago

Johnson Health Tech rating

8.1

Company rating: 8.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

155th of 490 rated machine equipment manufacturers

Job description

Job Type
Full-time
Description
Position Overview:
Under the direction of the Sr. Director of Electrical Engineering, the AI/ML Developer - Mobile Fitness Applications will The AI/ML Developer will design and prototype advanced artificial intelligence features for Johnson Health Tech's mobile fitness applications. This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side Android developers to integrate these features into production applications.
Responsibilities:
• Research, design, and implement AI/ML solutions for mobile fitness applications.
• Develop and fine-tune LLMs for natural language interactions and personalization.
• Build scalable backend services using AWS technologies (Lambda, DynamoDB, SageMaker, etc.).
• Build scalable production ready ML ops pipeline and inference endpoints using AWS technologies e.g. SageMaker, Bedrock.
• Collaborate with Android developers to integrate AI features into client-side applications.
• Create prototypes and proof-of-concepts for new AI-driven features.
• Stay current with emerging AI/ML technologies and best practices.
• Ensure compliance with data privacy and security standards.
Requirements
Education:
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Experience:
• 3+ years of experience in AI/ML development, with a focus on Natural Language Processing (NLP) and LLMs.
• Hands-on experience with AWS services for AI/ML deployment.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
• Experience with RESTful APIs and microservices architecture.
Benefits:
We offer an excellent compensation package and team-oriented work environment with growth opportunities. Some of our outstanding benefits include:
• Health & Dental Insurance
• Company paid Life Insurance
• 401(k)
• Paid Time Off benefits
• Product discounts
• Wellness programs
Equal Opportunity Employer, including Veterans and Individuals with Disabilities

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