Manufacturing AI Expert

Molex makes a connected world possible by enabling technologies that transform the future and improve lives. With a presence in more than 40 countries, Molex offers a complete range of connectivity products, services and solutions for the data communications, medical, industrial, automotive and consumer electronics industries.

Molex is a global leader in connectivity solutions, serving customers across the automotive, industrial, data communications, consumer electronics, healthcare, and telecommunications industries.

As part of our digital transformation journey, we are accelerating the adoption of Artificial Intelligence (AI) across our manufacturing operations to drive improvements in productivity, quality, maintenance, planning, inventory management, and supply chain performance.

Molex is establishing a team of Manufacturing AI Experts to apply AI and advanced analytics to real-world manufacturing challenges and deliver measurable improvements across key sites.

This role is designed for a hands‑on, business‑oriented AI expert who can connect manufacturing needs with practical AI solutions‑not an AI‑modeling role in isolation.

The primary focus of the role will be:

• Quality improvement, including real‑time inspection, defect reduction, and closed‑loop quality systems.
• Predictive maintenance and AI‑enabled equipment management.
• Production and supply planning optimization, including forecasting, scheduling, resource allocation, and decision support.
• Manufacturing productivity and throughput improvement, including bottleneck identification and OEE improvement.
• Inventory and supply chain optimization where AI can improve planning, risk identification, replenishment, and inventory performance.
• Digital transformation and practical adoption of AI across manufacturing operations.

This role will be ideally in a Molex location preferably in Lisle/Chicago, Detroit, Harrisburg, Atlanta, GA or Texas.

Identify high‑impact manufacturing problems and opportunities where AI and advanced analytics can improve quality, productivity, cost, or operational performance. Develop and deploy practical AI solutions for real‑time inspection, defect detection, root‑cause analysis, and closed‑loop quality improvement. Analyze manufacturing bottlenecks and improve throughput and Overall Equipment Effectiveness (OEE). Partner with operations, quality, engineering, and site teams to implement data‑driven continuous improvement.

Identify equipment and maintenance use cases suitable for AI and predictive analytics. Develop and deploy predictive maintenance solutions and AI‑enabled equipment‑management capabilities. Translate equipment data into actionable recommendations that improve reliability, availability, and maintenance decision‑making.

Apply AI and advanced analytics to production planning, scheduling, resource allocation, demand forecasting, and supply planning. Improve inventory performance through forecasting, safety‑stock, replenishment, and planning analytics where appropriate. Develop predictive analytics to identify and mitigate supply chain risks and support end‑to‑end planning decisions.

Identify, evaluate, and prioritize high‑impact AI use cases at manufacturing sites. Move AI solutions from concept or research into practical production environments and measure business outcomes. Work cross‑functionally with Manufacturing, Quality, Engineering, Supply Chain, IT, and other stakeholders. Translate business and manufacturing requirements into scalable AI applications. Support AI adoption and continuous improvement, including…