Lead AI and Data Engineer

Requisition
74698
-Posted
10/16/2026

Eaton’s Corporate Sector division is currently seeking aLead AI and Data Engineer.

The expected annual salary range for this role is $97000- $143000a year.

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.

As a Lead AI & Data Engineer, you will design, develop, and deploy scalable AI-powered solutions that drive business value across the enterprise. You'll work across the technology stack, combining software engineering best practices with modern AI and machine learning capabilities to deliver secure, reliable, and innovative solutions.

• Author high quality, unit tested code in an iterative manner
• Drive a Secure Product Development Lifecycle approach that establishes a strong cybersecurity focus and culture across the entire engineering lifecycle
• Posses good knowledge of a wide range of technologies and programming languages. Maintain job knowledge by studying software development techniques and programming languages. Participate in educational opportunities and read professional publications.
• Develop, build, and configure solutions that implement user stories
• Develop and execute agile work plans for iterative and incremental product delivery
• Ensure that solutions meet technical requirements, non-functional requirements, and enterprise technology standards
• Continuously integrate and deploy solutions (with support of Dev Ops and service teams)
• Test software to ensure responsiveness and performance. Work with test teams to ensure adequate and appropriate test case coverage; investigate and fix bugs; create automated test scripts.
• Maintain, operate, and monitor solutions
• Create prototype designs for a product very rapidly using a wide range of techniques
• Demonstrate and document solutions by using flowcharts, diagrams, code comments, code snippets, and performance instruments
• Recommend software tools to management and architecture teams
• Implement and maintain the infrastructure needed for end-to-end machine learning workflows including data collection, model training, and deployment in production environments.
• Manage the lifecycle of large language models including training, evaluation, deployment, and monitoring of these models.
• Evaluate the performance of various machine learning models using appropriate metrics and statistical tests. Make recommendations on which models to use based on their performance.
• Fine-tune and enhance existing Retrieval Augmented Generation (RAG) and LLM models to improve their performance and adaptability.
• Design and optimize prompts to effectively guide the behavior of language models. Understand and manage the flow of prompts in a conversation or task.
• Provide guidelines and strategies for improving the accuracy of machine learning models.
• Advise on how to optimize token usage to save costs and improve performance including strategies for efficient data preprocessing, model architecture design, and deployment.
• Leverage Azure AI technologies for developing, deploying, and managing AI solutions with Azure Machine Learning and Cognitive Services.
• Have knowledge and experience in deploying models and applications in cloud environments, particularly Azure.

• Bachelor's degree from an accredited institution
• Minimum 3 years of experience in software engineering
• No relocation is offered for this role. Only candidates residing within a 50 mile radius of Beachwood, OH; or Mountainside, NJ area will be considered. Active Duty Military Service member candidates are exempt from the geographical…