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Ai Automation Engineer Jobs in Wisconsin (NOW HIRING)

The Automation Engineer will design and implement automated systems, develop PLC and robotics ... Develop automated quality control systems incorporating AI-driven defect detection * Design and ...

Automation Engineer - JLL What this job involves: We are seeking an experienced Automation Engineer ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

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Ai Automation Engineer information

See Wisconsin salary details

$37.3K

$108.1K

$164.5K

How much do ai automation engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai automation engineer in Wisconsin is $108,128.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,300.00 and $124,700.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

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

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

Is AI automation a high paying job?

AI automation engineers typically earn higher-than-average salaries due to their specialized skills in machine learning, programming, and data analysis. Salaries vary based on experience, location, and industry, but the role is generally considered well-compensated within the tech field.

Is AI automation engineer in demand?

AI automation engineers are in high demand due to the increasing adoption of artificial intelligence and automation across industries. They are needed to develop, implement, and maintain AI-driven systems, often requiring skills in machine learning, programming, and data analysis. Job opportunities are growing as companies seek to improve efficiency and innovation through automation technologies.

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

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

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

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

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

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

Infographic showing various Ai Automation Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $108,128 per year, or $52 per hour.

Automation Engineer

Foxconn WI

Mount Pleasant, WI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Job description

Description
FII USA, Inc., a Foxconn Technology Group Company, is seeking an Automation Engineer to drive automation initiatives and enhance manufacturing efficiency within our PCBA facility. Once a part of the team, you will be responsible for a wide variety of tasks within the Engineering/Manufacturing department in a production environment and have the opportunity to display critical thinking skills to expand your career in Smart Manufacturing.
The Automation Engineer will design and implement automated systems, develop PLC and robotics solutions, and optimize manufacturing processes while collaborating with cross-functional teams to drive continuous improvement.

Responsibilities
  • Design and implement comprehensive automated production processes for SMT and PCBA manufacturing, including line balancing, material flow optimization, and cycle time reduction strategies
  • Develop, modify, and maintain complex PLC, HMI, and motion control programs using various platforms (Siemens, Allen-Bradley, Omron) to enhance equipment functionality and user interface
  • Engineer and integrate advanced robotic systems, multi-camera vision inspection systems, and precision motion controls for automated component placement and testing
  • Perform advanced troubleshooting of automation-related issues using data analytics and diagnostic tools to minimize downtime and optimize system performance
  • Implement and oversee lean manufacturing and Industry 4.0 initiatives, including IIoT sensor integration, real-time monitoring systems, and predictive analytics
  • Lead comprehensive root cause analysis and failure mode effects analysis, developing systematic approaches to prevent recurring issues
  • Design and implement robust preventive and predictive maintenance strategies using condition monitoring and machine learning algorithms
  • Develop and conduct technical training programs for staff on automation systems, safety protocols, and maintenance procedures
  • Create and maintain digital twin simulations for process optimization and virtual commissioning
  • Develop automated quality control systems incorporating AI-driven defect detection
  • Design and implement automated material handling systems including AGVs and conveyor systems
  • Create and maintain automation system documentation including SOPs, maintenance schedules, and validation protocols
  • Other duties as assigned

Qualifications
  • Bachelor's degree in Automation Engineering, Electrical Engineering, Mechatronics, or related field required
  • 3-7 years of automation engineering experience in PCBA/SMT manufacturing strongly preferred
  • PLC programming certifications, robotics experience, machine vision systems expertise preferred
  • Must be able to lift up to 25 pounds and stand for extended periods while working with manufacturing equipment

Reasons you should work for us:
  • Comprehensive benefits package including medical, dental, and vision insurance coverage.
  • Basic life insurance and short-term disability coverage provided by employer.
  • Supplemental life insurance and long-term disability coverage options available.
  • 401K with employer contribution.
  • Personal, Vacation, and Holiday paid time off for all full-time employees.
  • Onsite Aurora Health & Wellness Center available for all employees.
  • Employees are continuously encouraged to learn and grow their careers in smart manufacturing.