Drimva

Shield AI

Digital Factory Lead (R5265)

$150K–$230K

Seattle, Washington · On-site · Full-time · Posted Sep 2, 2026

Experience
8+ years
Education
Bachelor's degree in Engineering, Manufacturing Engineering, Industrial Engineering, Computer Science, Automation, or a related technical discipline.

About the job

Leads the development and deployment of digital factory systems, connected infrastructure, automation, and AI-enabled tools for aircraft manufacturing.

What you'll do

  • Develop and execute AI Manufacturing and Digital Factory roadmaps, identifying and deploying AI solutions across production and related operations.
  • Lead deployment and improvement of the Manufacturing Execution System and connect factory systems across engineering, production, quality, maintenance, and supply chain.
  • Develop connected factory infrastructure and lead automation initiatives and evaluations of emerging manufacturing technologies.

What they ask for

  • Bachelor's degree in Engineering, Manufacturing Engineering, Industrial Engineering, Computer Science, Automation, or a related technical discipline.
  • 8+ years of experience in digital manufacturing, manufacturing systems, industrial automation, software-enabled operations, or Industry 4.0 environments.
  • Experience implementing manufacturing software systems and strong understanding of manufacturing operations, industrial controls, factory automation, and manufacturing data systems.
  • Experience delivering production-ready solutions with technical teams and leading complex cross-functional initiatives from concept through deployment.

Nice to have

  • Experience in aerospace, defense, automotive, robotics, electronics, or other high-complexity manufacturing; greenfield factory launches or large-scale factory transformations.
  • Experience applying AI, machine learning, advanced analytics, or digital twin technologies in operations; knowledge of AS9100 or other highly controlled manufacturing systems.

Pay

USD 150,000–230,000 per-year-salary (base salary)

Tools

MES, ERP, PLM, QMS, PLCs, machine vision, digital twins

AI focus

Develop and execute an AI Manufacturing roadmap and deploy AI-enabled manufacturing solutions, including intelligent work instructions, manufacturing copilots, predictive maintenance, automated root-cause analysis, and advanced analytics.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)