The successful candidate will project manage digital deployments end to end, working with sites to identify opportunities, build business cases for digital integrations, and quantify savings based on deployment opportunities. A Lean mindset is essential: processes should be simplified and stabilised before they are digitised.
Strong communication skills are required. The engineer will actively align sites to the global digital deployment strategy, driving adoption of common standards and a “develop once, deploy many” approach across multiple locations.
Due to the nature of the products and programmes supported, ITAR eligibility is preferred. Applicants who are a U.S. Person as defined by ITAR (22 CFR §120.62) will have access to the full range of programmes supported by the team.
Eligibility
ITAR: U.S. Person (U.S. citizen, U.S. lawful permanent resident, or protected individual) preferred.
Willing to travel 25%–50% domestically and internationally.
Job Requirements
AI Solutions Development
Identify, develop, and deploy AI solutions for manufacturing and engineering use cases, including generative AI, AI agents, machine learning, and AI-enabled inspection.
Develop and scale Manufacturing Engineering AI tools such as PFMEA generation, work instruction generation, troubleshooting assistants, and engineering knowledge management.
Evaluate emerging AI technologies and platforms, and run structured pilots to prove value before scaling.
Partner with IT, data, and AI teams to ensure solutions meet TE security, data governance, export-control, and responsible-AI requirements.
Support AI adoption through training, user guidance, and AI champion networks at sites.
Digital Tool Deployment & Site Rollouts
Lead site-wide rollouts of digital tools, including deployment planning, user training, go-live support, and sustainment.
Develop standard deployment packages (requirements, configuration, training, validation, and handover) that can be replicated across sites.
Measure adoption and usage after go-live, and drive corrective actions where adoption or benefit falls short.
Capture lessons learned and continuously improve the deployment approach.
Systems Integration – Machines & Manufacturing Processes
Link machines, automation, vision, and test systems with MES, ERP, databases, and analytics platforms.
Define data requirements, connectivity architectures, and interfaces (e.g., OPC UA, MQTT, APIs, SQL) with site, IT, and OT teams.
Enable real-time monitoring of OEE, process parameters, quality data, and traceability.
Develop standard, secure, and scalable integration architectures aligned with TE IT/OT standards.
Business Cases & Savings Development
Work with sites to identify and prioritise digital integration opportunities based on value, readiness, and scalability.
Build business cases and CER / investment justifications, quantifying labour, productivity, quality, capacity, and risk-reduction benefits and ROI.
Build savings pipelines from deployment opportunities across sites and track realisation against approved business cases.
Support supplier and platform evaluation, RFQs, and technical bid comparison for digital solutions.
Project Management
Manage digital projects from concept through deployment, including scope, plan, budget, resources, risks, and milestones.
Coordinate site teams, IT, suppliers, and central engineering to deliver on time and to budget.
Report project status, risks, and benefits to engineering and site leadership.
Global Digital Strategy & Site Alignment
Actively align sites to the global digital deployment strategy and roadmap.
Promote common platforms, standards, and best demonstrated practices to avoid duplicated development across sites.
Act as the link between central engineering and site teams, influencing without direct authority.
Contribute to the AD&M digital manufacturing and AI roadmap.
Lean Manufacturing & Continuous Improvement
Apply Lean Manufacturing, Continuous Improvement, and TEOA principles to remove waste before digitising processes.
Use process mapping and value stream analysis to target digital solutions where they deliver the greatest value.
Support Kaizen events and standard work linked to digital deployments.
What your background should look like
Education
Bachelor's Degree in Computer Science, Software, Data Science, Electrical, Manufacturing, Industrial, Automation, or Mechatronics Engineering, or a related discipline.
Experience
5+ years of experience in manufacturing engineering, digital manufacturing, industrial software, automation, or data/analytics within a production environment.
Demonstrated delivery of digital or technology projects from concept through deployment.
Experience working with manufacturing sites and cross-functional teams across multiple locations.
Experience building business cases or quantifying savings for technology investments.
Demonstrated interest in AI, with evidence of self-directed learning or practical application.
Preferred Qualifications
Hands-on experience with generative AI, LLMs, AI agents, or machine learning applications.
Experience with MES, IIoT, or manufacturing data platforms and machine connectivity.
Programming or low-code experience (e.g., Python, SQL, Power Platform, Power BI).
Experience in Aerospace, Defense, Medical, or other regulated manufacturing environments.
Project management certification (e.g., PMP) or Lean Six Sigma Green Belt / TEOA training.
Experience leading change management and multi-site rollouts.
Technical Skills
AI solution development: generative AI, prompt engineering, AI agents, machine learning fundamentals.
Digital manufacturing: MES, IIoT, OEE monitoring, digital work instructions, traceability.
Systems integration: OPC UA, MQTT, APIs, databases, ERP / MES interfaces.
Data analytics and visualisation (e.g., Python, SQL, Power BI).
Business case development, savings modelling, and ROI analysis.
Project management: planning, risk management, stakeholder reporting.
Lean tools: VSM, standard work, process mapping, Kaizen.
ABOUT TE CONNECTIVITY
TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.
Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).
COMPENSATION
- Competitive base salary commensurate with experience: $103,900 - $155,900 (subject to change dependent on physical location)
- Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.
- Total Compensation = Base Salary + Incentive(s) + Benefits
BENEFITS
A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.
EOE, Including Disability/Vets
IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.
Job Locations
#, North Carolina _
United States
Posting City
#
Job Country
United States
Travel Required
25% to 50%
Requisition ID
161630
Workplace Type
Hybrid
External Careers Page
Engineering & Technology
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