Director, AI Engineering - Manufacturing
Core
Lead a distributed team of AI/ML engineers to build scalable systems that improve manufacturing productivity, quality, yield, and operational decision-making.
Role type
Senior engineering and AI/ML leader (Director level)
Builds
Production-grade AI/ML systems for manufacturing workflows
Domain
Advanced manufacturing (semiconductor, photonics, electronics, precision manufacturing)
Deliverable
production ML models
Required skills
Engineering management, software engineering, AI/ML systems, data science, distributed systems, cloud/edge architectures, manufacturing processes, process variation, yield, quality systems, equipment data, inspection, traceability, root-cause analysis
Preferred skills
Semiconductor/photonics/electronics manufacturing experience, MES/SPC/QMS/ERP ecosystem knowledge, scaling AI across multiple plants, generative AI/LLM applications in manufacturing
Technologies
Classical machine learning, deep learning, computer vision, optimization, statistical methods, LLMs, generative AI
Responsibilities
Set multi-year AI/ML roadmap aligned to business priorities; Identify and prioritize high-impact opportunities in process optimization, yield improvement, visual inspection, predictive maintenance, and anomaly detection; Guide architecture, design, development, validation, and lifecycle management of production-grade AI/ML systems; Define engineering patterns for data pipelines, feature/model management, APIs, monitoring, and cybersecurity; Ensure solutions integrate with real manufacturing data sources (MES, SPC, QMS, ERP, sensors); Drive disciplined problem definition connecting technical delivery to operational outcomes; Partner with site teams to understand workflows and adoption barriers; Establish governance for responsible, secure, and explainable AI
Seniority
Director, hands-on IC with significant leadership scope
