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Ai Platform Engineer Jobs in Wisconsin (NOW HIRING)

Abbott

Lead AI Platform Engineer

Madison, WI · On-site

$99K - $198K/yr

Advanced ability working with machine learning frameworks, programming languages like Python, and cloud platforms. * Strong analytical and problem-solving skills with expertise in AI/ML techniques.

Abbott

Lead AI Platform Engineer

Madison, WI

$99K - $198K/yr

Advanced ability working with machine learning frameworks, programming languages like Python, and cloud platforms. * Strong analytical and problem-solving skills with expertise in AI/ML techniques.

Abbott

Lead AI Platform Engineer

Madison, WI · On-site

$99K - $198K/yr

Advanced ability working with machine learning frameworks, programming languages like Python, and cloud platforms. * Strong analytical and problem-solving skills with expertise in AI/ML techniques.

Qualysoft

Policies, AI Act) Anforderungen Mehrjahrige Erfahrung als Platform Engineer, DevOps Engineer oder vergleichbare Rolle Sehr gute Kenntnisse in Kubernetes / OpenShift , idealerweise OpenShift AI ...

Imedica

Senior AI Engineer

Madison, WI

$113K - $194K/yr

Medica is seeking a hands-on Senior AI Platform Engineer to help build and scale our next-generation AI agents and infrastructure. You'll work on complex systems that power AI-driven healthcare ...

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All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in Wisconsin

Ai Platform Engineer information

See Wisconsin salary details

$33

$64

$95

How much do ai platform engineer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for ai platform engineer in Wisconsin is $64.55, according to ZipRecruiter salary data. Most workers in this role earn between $50.96 and $74.47 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

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

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.
What are popular job titles related to Ai Platform Engineer jobs in Wisconsin? For Ai Platform Engineer jobs in Wisconsin, the most frequently searched job titles are:
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What cities in Wisconsin are hiring for Ai Platform Engineer jobs? Cities in Wisconsin with the most Ai Platform Engineer job openings:
Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 50% Full Time, 47% Part Time, and 3% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $134,270 per year, or $64.6 per hour.

Lead AI Platform Engineer

Abbott

Madison, WI • On-site

$99K - $198K/yr

Full-time

Posted 6 days ago

Abbott rating

7.9

Company rating: 7.9 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

159th of 536 rated manufacturers

Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION:

Position Overview
The Lead Engineer, Artificial Intelligence is a pivotal position responsible for driving the strategic vision and technical execution of AI initiatives within the organization. This role demands expertise in Machine Learning, Natural Language Processing, and emerging technologies such as Generative AI and Large Language Models. This role will be responsible for the development and deployment of innovative AI solutions, ensuring their alignment with business objectives while fostering collaboration across multidisciplinary teams. A strong emphasis is placed on problem-solving, efficiency enhancement, and maintaining the reliability and scalability of AI systems to deliver exceptional results.

Essential Duties
Include, but are not limited to, the following:

  • Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies.
  • Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
  • Partner on the execution of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications.
  • Complete the development and deployment of AI models and algorithms to solve complex problems.
  • Stay updated on advancements in AI research and technology to guide initiatives.
  • Foster a culture of innovation, collaboration, and continuous learning within the team.
  • Coach, support, and provide mentorship for team members.
  • Champion ethical AI practices and ensure compliance with regulatory standards.
  • Address issues related to data privacy, security, and biases in AI systems.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company's Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field; or High School Diploma/General Education Degree and 4+ years of relevant as outlined in the essential duties in lieu of Bachelor's Degree.
  • Demonstrated expertise in designing and deploying cutting-edge AI solutions that drive measurable business impact.
  • Demonstrated understanding of ethical considerations in AI systems.
  • 3+ years of project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE).
  • Advanced ability working with machine learning frameworks, programming languages like Python, and cloud platforms.
  • Strong analytical and problem-solving skills with expertise in AI/ML techniques.

Preferred Qualifications:

  • Experience designing and deploying Gen AI solutions at scale.
  • Experience fine tuning LLMs, SLMs, teacher-student frameworks and model distillation
  • Familiarity with human in the loop methods for aligning LLMs with human preferences, e.g. DPO
  • Familiarity with Agentic framework platforms and concepts. Experience deploying agentic-based solutions is a plus.

The base pay for this position is

$99,300.00 - $198,700.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:Product DevelopmentDIVISION:ONCO Cancer DiagnosticsLOCATION:United States > Madison : 5505 Endeavor LnADDITIONAL LOCATIONS:WORK SHIFT:StandardTRAVEL:NoMEDICAL SURVEILLANCE:NoSIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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