Job highlights

- Bachelor's degree in Mechanical Engineering with 3-5 years experience in Creo, PDMLink, and engineering-process validation
- Identify and validate AI use cases, conduct UAT, create training materials, support adoption, and improve engineering productivity

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Job Overview

Support Engineering AI initiatives through use-case development, user acceptance testing (UAT), user training, adoption, and support. Apply Creo, PDMLink, and engineering-process expertise to validate solutions and improve engineering productivity.

Job Requirements

- AI use cases: Identify, document, prioritize, and validate engineering AI use cases in partnership with engineering users and stakeholders.
- User acceptance testing: Prepare representative test scenarios, execute UAT, document results, track defects, and coordinate issue resolution.
- Training and user support: Create user guides and learning materials, conduct training and demonstrations, support users, and capture structured feedback.
- Engineering systems expertise: Apply hands-on Creo, PDMLink, and mechanical-engineering process knowledge to assess solution fit, usability, and business relevance.
- Adoption and change support: Support communications, onboarding, readiness activities, feedback loops, and adoption campaigns for Engineering AI capabilities.
- Productivity improvement: Support process optimization, establish baseline measures, and track productivity and user-experience benefits.
- Collaboration and documentation: Work with DES, business units, technology teams, and solution providers while maintaining transparent use-case, test, training, and support documentation.

Required Qualifications and Experience:
- Education:



Bachelor's degree in Mechanical Engineering or an equivalent engineering discipline.
- Experience: 3 to 5 years of relevant experience in mechanical engineering, engineering systems, digital engineering, or application support.
- Technical expertise: Hands-on experience with Creo, PDMLink/Windchill, and mechanical-engineering or product-development processes.
- Testing and validation: Experience preparing test scenarios, conducting UAT, documenting results, and coordinating defect resolution.
- Training and support: Ability to create clear user documentation, deliver training, support users, and translate feedback into practical improvements.
- Improvement methods: Exposure to Lean, process mapping, automation, analytics, or similar productivity-improvement methods.
- Core skills: Strong problem-solving, communication, documentation, training, and cross-functional collaboration skills.

Preferred Qualifications:
- Exposure to Engineering AI, digital engineering, AI-assisted design, or engineering automation.
- Experience supporting pilots, proof-of-concepts, application rollouts, or adoption initiatives.
- Familiarity with engineering data, design-review workflows, and enterprise application support processes.

Success Measures:
- Delivery: Use cases and UAT activities completed with clear documentation, traceable results, and stakeholder alignment.
- Adoption: Users trained, supported, and enabled to apply Engineering AI capabilities effectively.
- Quality: Issues, feedback, and improvement actions documented and progressed through appropriate resolution channels.
- Impact: Engineering productivity and user-experience improvements identified, measured, and demonstrated.

Career Path: Potential progression into Engineering Systems SME, Engineering AI Product Analyst, Product Owner, or Digital Engineering lead roles within DES.

📌 Analyst II Enterprise Systems (Bengaluru)
🏢 TE Connectivity
📍 Bengaluru