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