AI Application Engineer
- Location
- Waukesha, WI · On-site
- Job type
- Full-time
- Level
- Senior
- Experience
- 5+ years
- Education
- Bachelor's degree
- Listed
- 7 days ago
Skills & highlights for this role
- Python
- TensorFlow
- PyTorch
- Scikit-learn
- Data engineering and ETL pipelines
- Model deployment (APIs, microservices, Docker)
- Experience with structured and unstructured data
- Experience building and deploying AI-based vision systems
- Understanding of industrial systems, manufacturing processes, or IoT data
- PLC, SCADA, MES exposure
- Systems thinking and problem-solving
- Clear communication with technical teams and leadership
Also useful
- Computer vision (OpenCV, vision models)
- Time-series analysis (sensor, telemetry data)
- Edge AI deployment
- MES, PLM, and ERP integrations (SAP, Tulip, Windchill)
- Discrete manufacturing experience
- Digital factory or Industry 4.0 initiative experience
About the role
We believe power is a promise - a shared commitment to be there for others when it matters most.
For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.
Ready to Power a Smarter World with us?
The AI Applications Engineer will design, develop, and deploy scalable AI/ML solutions that accelerate digital transformation across manufacturing operations. This role will focus on translating operational challenges into deployable AI solutions-integrating operations platforms to enable smarter decision-making, automation, and predictive insights. This position plays a critical role in building the "Digital Factory + AI" capability stack.
This position could include up to 25% travel locally.
Major Responsibilities
AI Solution Development & Deployment
- Design, build, test, and deploy machine learning and AI models, including productionizing solutions and maintaining model performance over time.
Manufacturing (Operations) Use Case Delivery
- Develop and support AI solutions for shop floor applications such as predictive maintenance, quality inspection, yield optimization, and throughput improvement.
Data Engineering & Platform Integration
- Develop data pipelines, integrate with enterprise systems, and ensure scalable, reusable AI and data architecture.
Cross-Functional Collaboration & Business Translation
- Partner with Operations and IT teams to define use cases, translate business problems into AI solutions, and ensure adoption. Including build vs. buy analysis.
Continuous Improvement, Governance & Documentation
- Monitor model performance, ensure data/model governance, document solutions, and drive reusability and standardization across sites/functions.
Minimum Job Requirements
Education
- Bachelor's degree in computer science, engineering, data science, or related field
Work Experience
- Experience working with structured and unstructured data
- Experience building and deploying AI based vision systems
- 5 years in manufacturing / OT environments, PLC, SCADA, MES exposure
- 2 years of experience in AI/ML development and deployment
Knowledge / Skills / Abilities
- Python (TensorFlow, PyTorch, Scikit-learn)
- Data engineering and ETL pipelines
- Model deployment (APIs, microservices, Docker, etc.)
- Understanding of industrial systems, manufacturing processes, or IoT data
- Strong problem-solving and systems thinking mindset
- Ability to bridge technical and business domains
- Execution-focused with a bias toward deployment (not just modeling)
- Ability to work across operations, engineering, and service functions
- Ability to demonstrate clear communication with both technical teams and leadership
Preferred Job Requirements
Education
- Master's Degree
Work Experience
- Experience in discrete manufacturing environments
- Experience working in digital factory or Industry 4.0 initiatives
- Familiarity with MES, PLM, and ERP integrations (SAP, Tulip, Windchill, etc.)
Knowledge / Skills / Abilities
- Experience with Computer vision (OpenCV, vision models
- Time-series analysis (sensor, telemetry data)
- Edge AI deployment
Equal opportunity and legal notices
"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."
From Generac's careers page, first listed on Rolev.ai on November 7, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the AI Application Engineer job at Generac located?
This AI Application Engineer position at Generac is located in Waukesha, WI (On-site). Always check Generac's application page for specific state eligibility or relocation policies.
What qualifications are required for AI Application Engineer at Generac?
For the AI Application Engineer role, Generac highlights 5+ years of relevant experience; a bachelor's degree; experience with Python, TensorFlow, PyTorch, Scikit-learn, Data engineering and ETL pipelines, Model deployment (APIs, microservices, Docker). Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the AI Application Engineer position at Generac?
This listing links directly to Generac's Workday application page. You can apply directly on Generac's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.