AI-Driven Engineering Enablement Lead

Littelfuse

Champaign (IL)

On-site

USD 89,000 - 137,000

Full time

5 days ago
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Job summary

Littelfuse is seeking an AI Integration Engineer to apply artificial intelligence across ICP engineering tools, processes, and data. You will identify opportunities, propose practical solutions, and build, deploy, and drive adoption so engineers can work faster with reliable data.

The role partners with New Product Development, Application Engineering, Project Management, and Sustaining Engineering to advance AI-enabled tools, data strategies, and governance across global teams.

Qualifications

  • Bachelor’s degree and/or Master’s degree in a technical field.
  • 5–10 years of product or process development engineering experience.
  • Demonstrated passion for applying AI to engineering workflows and data.

Responsibilities

  • Identify opportunities where AI can improve workflow, efficiency, and decision making.
  • Propose AI use cases with clear business value and lead execution of the roadmap.
  • Design, build, and deploy AI-enabled tools integrated with existing systems.
  • Improve engineering data quality, structure, and reliability for AI analytics.

Skills

Strong analytical skills
Willingness to collaborate
Fluent in English
Travel flexibility

Education

Bachelor’s degree in Electrical, Mechanical, or Industrial Engineering, Computer Science, or similar discipline
Master’s degree in Engineering, Data Science, Computer Science, or similar discipline

Tools

Python
ML frameworks
Cloud AI platforms

Job description

Littelfuse is seeking an AI Integration Engineer to apply artificial intelligence across ICP engineering tools, processes, and data. You will identify opportunities, propose practical solutions, and build, deploy, and drive adoption so engineers can work faster with reliable data.

The role partners with New Product Development, Application Engineering, Project Management, and Sustaining Engineering to advance AI-enabled tools, data strategies, and governance across global teams.

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