AI Application Engineer

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  “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.”