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Ai Platform Engineer Jobs in Wisconsin (NOW HIRING)

Abbott Laboratories

Lead AI Platform Engineer

Madison, WI · On-site

$99.30 - $198.70/hr

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.

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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.

Bank of America

WI · On-site

$150 - $210/hr

This role is ideal for an engineer passionate about Generative AI, application development, platform engineering, automation, and building reusable capabilities that accelerate enterprise AI adoption.

Acrisure

Platform Engineer - Palantir

Stevens Point, WI · On-site

AURIS AI| PLATFORM ENGINEERING Platform Engineer - Palantir Hands-On Builder, Cost Steward & Component Curator About Acrisure Acrisure is a global fintech leader empowering ambitious businesses and ...

Qualysoft

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

CSAA

  • Retirement

Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 Software Engineer III - AI/ML Platform Operations - Remote (Open) Location Arizona - Home Teleworkers ...

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CSAA

  • Retirement

Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 Software Engineer III - AI/ML Platform Operations - Remote (Open) Location Arizona - Home Teleworkers ...

New

CSAA

  • Retirement

Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 Software Engineer III - AI/ML Platform Operations - Remote (Open) Location Arizona - Home Teleworkers ...

New

CSAA

  • Retirement

Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 Software Engineer III - AI/ML Platform Operations - Remote (Open) Location Arizona - Home Teleworkers ...

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Johnson Controls

Manager, Platform Engineering

Milwaukee, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Own platform KPIs including reliability, security, adoption, developer productivity, and cost ... Azure certifications such as Azure Solutions Architect, Azure AI Engineer, or Terraform Associate.

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Target

Principal Engineer - AI /ML Platform

Stevens Point, WI · On-site

$168K - $356K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Find competitive benefits from financial and education to well-being and beyond at PRINCIPAL ENGINEER - AI PLATFORMS About Us Working at Target means helping all families discover the joy of everyday ...

Abbott

Sr. Engineer, AI Platform

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

Sr. Engineer, AI Platform

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.

Socket.dev

WI · On-site

$118 - $220/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You'll partner closely with Product, Applied AI, and Engineering teams to accelerate the delivery ... Improve platform reliability, observability, performance, and cost efficiency through monitoring ...

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Falkor

WI · On-site

$100 - $140/hr

Our AI-enabled platform connects people, systems, and workflows--expanding human capability by ... This is a hands-on senior engineering role with high autonomy and ownership. You will work closely ...

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Socket.dev

WI · On-site

$95 - $176/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We work closely with product, applied-AI, and platform teams to ship AI-driven capabilities faster ... Uphold high engineering standards - code quality, automated testing, observability, CI/CD, and ...

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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 20, 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 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 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.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

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:

What job categories do people searching Ai Platform Engineer jobs in Wisconsin look for?

The top searched job categories for Ai Platform Engineer jobs in Wisconsin are:

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 58% Full Time, 39% Part Time, and 3% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $134,270 per year, or $64.6 per hour.

Lead AI Platform Engineer

Abbott Laboratories

Madison, WI • On-site

$99.30 - $198.70/hr

Other

This job post has expired today. Applications are no longer accepted.

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.

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