PLM & AI Enablement Engineer — Global Systems

Amphenol ICC

Yocumtown (PA)

On-site

USD 110,000 - 150,000

Full time

6 days ago
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Job summary

Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, seeks an Engineering Systems Engineer to enhance PLM, engineering data, and digital engineering. You will support Windchill PLM operations, BOM management, and AI-enabled initiatives across global teams in the US, China, India, and beyond.

The role emphasizes data quality, process standardization, user training, and driving automation to improve engineering productivity.

Qualifications

  • Bachelor's degree or higher in Mechanical Engineering, Computer Engineering, Industrial Engineering, Information Systems, or related technical field.
  • Strong English communication skills (listening, speaking, reading, writing).
  • Excellent technical troubleshooting and problem-solving abilities.
  • Ability to collaborate with global teams across engineering, IT, and AI functions.
  • Experience with PLM processes and engineering data management is a plus.

Responsibilities

  • Provide Windchill PLM system support and admin tasks (user activation, role assignment, access controls).
  • Troubleshoot PLM-related issues, data synchronization, and workflow interruptions.
  • Support engineering change management (ECR/ECN) and BOM/product structure management.
  • Assist Creo/PLM integration, CAD data management, check-in/check-out workflows.
  • Support AI-enabled engineering initiatives, data quality, and enterprise search readiness.
  • Collaborate with global teams to implement PLM and AI-related improvements.

Job description

Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, seeks an Engineering Systems Engineer to enhance PLM, engineering data, and digital engineering. You will support Windchill PLM operations, BOM management, and AI-enabled initiatives across global teams in the US, China, India, and beyond.

The role emphasizes data quality, process standardization, user training, and driving automation to improve engineering productivity.

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