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Applied Ai Engineer Jobs in Wisconsin (NOW HIRING)

WI ยท On-site

$125 - $150/hr

Job Summary Join SHI's Applied AI team and help build the next generation of AI-powered business ... This role is ideal for engineers who love solving complex problems, building production software ...

New

Senior AI/ML Engineer

Milwaukee, WI ยท On-site

$141K - $193K/yr

Senior AI/ML Engineer (GenAI & Platform Intelligence) Role Overview We are seeking an innovative ... applied machine learning, software architecture, and developer tooling. You will partner closely ...

New

WI ยท On-site

$120 - $150/hr

We are looking for a Senior Applied ML Engineer to be part of revolutionizing these industries. We ... ready AI systems that transform how homes are designed, estimated, and built. What You Will Do

The AI Engineer III operates with a high degree of autonomy, making architectural and technical ... Strong applied knowledge of machine learning and artificial intelligence concepts, evaluation ...

Artificial Intelligence Engineer III

Madison, WI ยท On-site

$58 - $77.75/hr

The AI Engineer III operates with a high degree of autonomy, making architectural and technical ... Strong applied knowledge of machine learning and artificial intelligence concepts, evaluation ...

WI ยท On-site

$77.37/hr

The equipment that we create and service is essential to advancing AI and accelerating the ... As a Field Service Engineer [Customer Engineer] at Applied Materials, you serve as the direct ...

WI ยท On-site

$110 - $160/hr

... Engineering Technical Skills 3 Technology|Generative AI|Prompt Engineering Technical Skills 4 ... Leveraging Infosys' applied AI framework, Topaz empowers users to deliver cognitive solutions that ...

WI ยท On-site

$150 - $210/hr

Partner with Engineering from discovery through launch, defining requirements, success measures ... Applied AI products or AI agents used in production workflows. How success will be measured During ...

New

WI ยท On-site

Partner with Engineering from discovery through launch, defining requirements, success measures ... Applied AI products or AI agents used in production workflows. How success will be measured During ...

New

WI ยท On-site

$173 - $288/hr

As Lead Director of Software Engineering, you will own the strategic vision, architecture, and execution of a platform roadmap that spans traditional distributed systems and applied generative AI ...

Showing results 21-40

Applied Ai Engineer information

What are the key skills and qualifications needed to thrive as an applied AI engineer?

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What are some common challenges applied AI engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

How much does an applied AI engineer make?

An applied AI engineer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What are popular job titles related to Applied Ai Engineer jobs in Wisconsin?

For Applied Ai Engineer jobs in Wisconsin, the most frequently searched job titles are:

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

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

What cities in Wisconsin are hiring for Applied Ai Engineer jobs?

Cities in Wisconsin with the most Applied Ai Engineer job openings:

Infographic showing various Applied Ai Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 77% Full Time, 21% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

$120 - $160/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Job description

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.

We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us!

Job Description

The Data Science & Innovation Organization is building the analytical engine that powers our AI product portfolio. As Senior Data Scientist, Agentic AI Products, you will own the data and modeling layer that our agentic systems depend on. This role sits directly alongside the Senior Agentic AI Engineer, who designs and deploys the reasoning, orchestration, and tool-use layers of our AI agents. Where that role builds the agent architecture, you build the empirical foundation. The empirical foundation consists of curated datasets, predictive models embedded as agent tools, statistical rigor for evaluation, and the feedback infrastructure that makes agents measurably better over time. Together, these two roles form the core of our applied AI capability.

Primary Responsibilities Dataset creation & curation
  • Build high-quality labeled datasets from operational data sources including structured databases, event logs, sensor streams, and document repositories
  • Define feature engineering strategies for time-series, event-based, and unstructured data
Predictive model development
  • Build, validate, and maintain predictive models (e.g. anomaly detection, classification, forecasting) that serve as callable tools within agentic AI systems
  • Apply rigorous statistical methods: hypothesis testing, cross-validation, and confidence interval estimation to ensure model outputs are trustworthy when surfaced by an agent
Agent data interfaces & RAG grounding
  • Own the data pipeline that populates structured knowledge bases used for retrieval-augmented generation in agentic products
  • Build evaluation frameworks to measure retrieval quality and factual accuracy against domain specific ground-truth datasets
Experimentation & statistical rigor
  • Apply relevant causal inference techniques (e.g. synthetic controls, difference-in-difference) to isolate causal effects in operational environments
  • Serve as the statistical conscience of the AI team: design measurement frameworks before shipping, and build internal culture around responsible AI performance claims
Cross-functional enablement
  • Collaborate with product managers to translate domain use cases into well-formed ML problem statements
  • Work with AI engineers and data platform teams to align on feature store standards and machine learning best practices that support reliable agent tool integration
The Essentials - You Will Have:
  • Bachelor's Degree in relevant field.
  • Legal authorization to work in the US is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
The Preferred - You Might Also Have: Core data science foundations
  • 5+ years building end-to-end predictive models in production: from raw data through feature engineering, model training, evaluation, and deployment
  • Applied statistics: hypothesis testing, Bayesian methods, time-series modeling, uncertainty quantification, and understanding of common ML evaluation failure modes
  • Proficiency in Python (pandas, scikit-learn, PyTorch or equivalent); advanced SQL; familiarity with cloud data platforms (AWS, GCP, or Azure)
AI agent and RAG data experience
  • Direct experience building datasets and evaluation pipelines for conversational AI, chatbot, or agent systems
  • Understanding of how predictive model outputs (scores, probabilitie
What We Offer:
  • Health Insurance including Medical, Dental and Vision
  • 401k
  • Paid Time off
  • Parental and Caregiver Leave
  • Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.
  • To learn more about our benefits package, please visit at www.raquickfind.com.

This position is part of a job family. Experience will be the determining factor for position level and compensation.

At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.

We are an Equal Opportunity Employer including disability and veterans.

If you are an individual with a disability and you need assistance or a reasonable accommodation during the application process, please contact our services team at +1 (844) 404-7247.

Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

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