Senior Manager, IT Engineering- AI

• Lead AI model development and foster engineering collaboration.
• Successfully lead the development and implementation of AI models, including machine learning and deep learning algorithms.
• Collaborate with cross-functional teams to identify and solve complex AI-related challenges.
• Ensure the scalability, performance, and reliability of AI solutions.
• Stay up to date with the latest advancements in AI technologies and methodologies.
• Mentor and guide junior engineers in AI development and best practices.
• Ability to convey complex technical concepts to non-technical stakeholders.
• Partner with professionals at varying levels, regions, roles, functions of the organization to successful business outcomes.
• Design and build AI-driven platforms, pipelines, and APIs that integrate with enterprise IT.
• Implement and scale LLMs, GenAI, predictive analytics, and ML models for business applications.
• Partner with IT, cloud, and data engineering teams to ensure AI systems are scalable and secure.
• Optimize AI models for performance, reliability, and cost efficiency.

Qualifications:

Basic (Required) Qualifications:
• Bachelor's degree from an accredited institution.
• Minimum of seven (7) years' experience in AI/ML engineering with hands-on production, development, and deployment in large, corporate environments to achieve efficiencies across cost and performance.
• Must be authorized to work in the United States without company sponsorship now or in the future.

Preferred Qualifications:
• Experience integrating AI into enterprise software (SAP, Salesforce, ERP, IoT).
• Expertise in Python, TensorFlow, PyTorch, AWS/GCP/Azure AI services, MLOps frameworks.
• Proficiency in Python, Java, or C++.
• Proven ability to optimize AI models for efficiency, cost, and performance.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of data engineering and big data technologies.
• Previous experience in a leadership or mentoring role.
• Experience in manufacturing, supply chain, or industrial AI applications.

Eaton Leaderships Attributes:
• Think and Act Strategically, Build Organizational Capability, Get Results and Enable a Digital Mindset across Eaton.
• Is passionate, accountable, efficient, ethical, transparent, and focused on continuous learning.
• We foster an environment of engagement and inclusion for all employees and act with advocacy, empathy, and accountability.

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 $175,000-$250,000 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.

The application window for this position is anticipated to close on 4/12/2025.

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 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.