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Our Corporate IT Organization is driving the adoption of innovation across Eaton! In the role of Director of AI Engineering for Corporate IT, the individual will manage the development and execution of the enterprise AI strategy, roadmap, and investment priorities, ensuring alignment with the broader organizational objectives. They will lead the creation and implementation of a comprehensive AI strategy that supports the company's vision and goals. Responsibilities include researching emerging AI technologies, assessing their business implications, and advising on strategic investments. They will establish a framework and strategy for the deployment and governance of artificial intelligence and generative AI within the enterprise, including creating a centralized function and guidelines to support business initiatives, and enhancing data science efforts across various domains to foster growth, efficiency, and risk management in line with key corporate priorities.

Key Responsibilities:

Strategic Leadership

+ Define and execute Eaton’s AI strategy for manufacturing, aligning with corporate goals and plant-level priorities.

+ Partner with operations, engineering, and supply chain leaders to identify high-impact AI opportunities across production, logistics, and maintenance.

+ Lead the adoption of generative AI, computer vision, predictive maintenance, and intelligent automation to optimize manufacturing processes.

AI Engineering & Delivery

+ Build and lead a high-performing AI engineering team focused on scalable, production-grade solutions for industrial environments.

+ Oversee the full AI/ML lifecycle: data ingestion from OT/IT systems, model development, deployment to edge/cloud, and performance monitoring.

+ Champion MLOps best practices and cloud-native architectures (e.g., Azure ML, AWS SageMaker, Databricks) tailored for manufacturing use cases.

Governance & Risk Management

+ Establish enterprise-wide AI governance, including ethical use, compliance with industrial standards, and risk mitigation.

+ Develop policies and frameworks for responsible AI, model transparency, and bias mitigation in safety-critical environments.

Innovation & Enablement

+ Evaluate emerging AI technologies and vendor partnerships to inform build-vs-buy decisions for manufacturing applications.

+ Drive enterprise-wide education and change management to foster AI literacy and adoption across plants and engineering teams.

+ Represent AI initiatives to executive leadership and the Board, articulating impact on productivity, quality, and cost savings.

Qualifications:

Basic Qualifications

+ Bachelor’s degree in Engineering and/or Computer Science from an accredited instituition.

+ Minimum 10 years of experience in engineering or technology leadership, with a focus on AI, data science, or digital transformation.

+ Minimum 2 years of enterprise IT leadership experience defining and executing AI strategies for a multi-billion-dollar industrial organization.

+ Must be authorized to work in the U.S. without company sponsorship.

Preferred Qualifications

+ Proven success delivering AI-powered solutions at scale in manufacturing or industrial environments.

+ Experience with AI applications such as predictive maintenance, defect detection, process optimization, and supply chain analytics.

+ Deep understanding of AI/ML frameworks (e.g., PyTorch, TensorFlow), industrial data platforms (e.g., OSIsoft PI, Snowflake), and programming languages (Python, SQL).

+ Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines) and edge deployment strategies.

+ Strong track record of influencing senior stakeholders and driving enterprise-wide transformation in manufacturing settings.

At Eaton, we strive to provide compensation and benefits that attract, engage, and retain the best talent. This includes competitive pay and a variety of benefit programs for eligible employees. The expected annual salary range for this role is $200,000- $280,000 a year. This role is also eligible for a variable incentive program. _Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations._

We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws.

You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report.

To request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at 1-800-836-6345 to discuss your specific need. Only accommodation requests will be accepted by this phone number.

We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here (https://www.youreatonbenefits.com/candidates) for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.