ZipRecruiter

Log In

1

Ai Platform Engineer Jobs in Wisconsin (NOW HIRING)

Socket.dev

WI · On-site

$180 - $240/hr

... platforms, integrating multiple products and technology stacks. You will also help drive our shift to an engineering-led, AI-native organization,one where AI writes much of thecodeand engineers stay ...

New

Socket.dev

WI · On-site

$140 - $200/hr

This role sits at the intersection of software engineering, machine learning, enterprise architecture, data platforms, and AI product development. We are not looking for someone who simply deploys ...

Alliant Energy

Senior Cloud Platform Engineer

Madison, WI · On-site

$56.25 - $75/hr

Leads platform automation, AI-enabled engineering tools, and reliability improvements that reduce manual effort, improve operational efficiency, and enhance service availability. * Implements ...

Alliantenergy

Senior Cloud Platform Engineer

Madison, WI

$56.25 - $75/hr

Leads platform automation, AI-enabled engineering tools, and reliability improvements that reduce manual effort, improve operational efficiency, and enhance service availability. * Implements ...

First American Financial Corp.

WI · On-site

$110 - $150/hr

What We Do First American is seeking a Platform Engineer II to provide Oracle Apps DBA support for ... In addition, the role requires AI literacy and a willingness to responsibly adopt approved AI tools ...

PepsiCo Deutschland GmbH

WI · On-site

$106.40 - $178.10/hr

As an AI Engineer specializing in AI Agents, you will play a pivotal role in our organization ... Work closely with AI platform teams to build scalable and cross‑domain AI agents while ensuring ...

Imedica

Senior AI Engineer

Madison, WI · On-site

$120K - $158K/yr

Medica is seeking a Senior AI Software Engineer to design, build, and scale our next-generation AI agents, applications, and platform capabilities. You own complex AI solutions from technical design ...

Medica Services Company LLC

Senior AI Engineer

Madison, WI · On-site

$120K - $158K/yr

Medica is seeking a Senior AI Software Engineer to design, build, and scale our next-generation AI agents, applications, and platform capabilities. You own complex AI solutions from technical design ...

previous pagenext page

Showing results 21-40

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 29, 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.

Senior Data Platform Engineer

Johnson Controls

Milwaukee, WI • On-site

$100K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Johnson Controls rating

8.0

Company rating: 8.0 out of 10

Based on 412 frontline employees who took The Breakroom Quiz

136th of 545 rated manufacturers

Job description

Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education.
For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward.
What we offer:
  • Competitive salary
  • Paid vacation/holidays/sick time
  • Comprehensive benefits package including 401K, medical, dental, and vision care
  • On the job/cross training opportunities
  • Encouraging and collaborative team environment
  • Dedication to safety through our Zero Harm policy

Role Summary
Johnson Controls Inc. are seeking a Senior Data Platform Engineer to design and operate a secure, scalable data platform that powers Workforce Analytics.
This role is focused on enabling high-quality, governed data consumption in Snowflake, with a strong emphasis on secure access patterns for humans, applications, and AI-driven tools.
In addition, this role will own and evolve the Posit (RStudio) platform, ensuring data scientists and advanced analysts have a seamless, secure, and performant environment for developing and operationalizing analytical workflows.
You will work across Data Engineering, Analytics, and Data Integration to ensure data is trusted, protected, and easily consumable across modern use cases.
Key Responsibilities
Secure Consumption Enablement
  • Design and mature secure data access patterns in Snowflake for:

  • Analysts and business users

  • Applications and downstream integrations

  • AI/ML tools and agent-based consumers

  • Implement and evolve RBAC / policy-based access models

  • Define patterns for least-privilege access, scoped datasets, and governed sharing

  • Ensure secure handling of PII and sensitive workforce data

  • Partner with security and governance teams on auditability and compliance

  • Anticipate future access patterns driven by AI and automation

Snowflake Platform & Data Optimization
  • Own and optimize the Snowflake platform (performance, compute strategy, cost management)

  • Design best practices for data organization, modeling layers, and access structures

  • Enable scalable and governed data domains for Workforce Analytics

Posit Platform Ownership (R / Data Science Enablement)
  • Own and manage the Posit (RStudio) platform for Workforce Analytics

  • Ensure secure, performant connectivity between Posit and Snowflake

  • Enable best practices for:

  • Data access within R environments

  • Package and environment management

  • Reproducibility and version control

  • Support operationalization of Python & R-based analytics, models, and workflows

  • Partner with data scientists and advanced analysts to improve platform usability

  • Establish patterns for governed, scalable analytical development

Transformation & Pipeline Enablement
  • Partner with Data Engineers to productionize pipelines using Coalesce.io

  • Define standards for modular, reusable, and testable transformation logic

  • Improve pipeline reliability and maintainability

Data Reliability & Quality
  • Implement and enforce data quality checks and validation frameworks

  • Ensure reliability of critical workforce datasets (headcount, attrition, recruiting)

  • Troubleshoot data issues with strong lineage awareness

CI/CD for Data Workflows
  • Build and maintain CI/CD pipelines for data transformations and platform changes

  • Integrate workflows using Azure DevOps / GitHub

  • Enable consistent deployment practices across environments

Data Developer Experience
  • Improve platform usability for engineers, analysts, and data scientists

  • Create reusable templates and patterns across:

  • Snowflake

  • Coalesce

  • Posit workflows

  • Reduce friction while maintaining governance

Required Qualifications
  • 5+ years in data engineering or data platform engineering

  • Deep experience with Snowflake, including performance tuning and access control

  • Strong SQL and experience working with complex data systems

  • Experience with data transformation tools (Coalesce.io, dbt, or similar)

  • Experience designing data access and security models

  • Experience supporting or working with R / Posit (RStudio) environments

Preferred Qualifications
  • Experience enabling data science platforms or analytical environments

  • Exposure to Workforce / HR data and PII governance

  • Experience supporting multi-modal consumption (BI, APIs, AI/ML tools)

  • Familiarity with Azure ecosystem

  • Experience with data quality and observability tooling

HIRING SALARY RANGE: $100,000-145,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This role offers a competitive Bonus plan that will take into account individual, group, and corporate performance. This position includes a competitive benefits package. The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. For details, please visit the About Us tab on the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us
Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit here.

What Johnson Controls employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Johnson Controls logo

About Johnson Controls

Sourced by ZipRecruiter

Johnson Controls is a world leader in smart buildings, creating safe, healthy and sustainable spaces. For nearly 140 years, we’ve made buildings better and now we’re transforming them again with our award-winning digital technologies and services. We’re using artificial intelligence and data driven solutions to give you deeper insight into your building’s health, sustainability and performance. It’s changing the way we design, operate and maintain indoor environments and driving to a new era of autonomous buildings. We deliver the blueprint of the future for industries such as healthcare, schools, data centers, airports, stadiums, hotels, manufacturing and beyond through OpenBlue, our comprehensive suite of connected solutions. Johnson Controls offers the world’s largest portfolio of building technology, software and services. Supported by a team of more than 100,000 dedicated employees working across 150 countries, we’re helping customers achieve their sustainability goals and power their mission.

Industry

Machinery manufacturing, water transportation, public safety statistics centers and offices and manufacturing

Company size

10,000+ Employees

Headquarters location

Milwaukee, WI, US

View All Johnson Controls Jobs

Apply