Head of AI Manufacturing

Foundational Industries
8d

About The Position

Foundational is building a network of AI-native, autonomous factories for modern contract manufacturing. We’re reshoring critical supply chains so companies can produce high‑quality products domestically, quickly, and at competitive cost. Foundational exists to make reindustrialization practical. Our factories are autonomy-first, reconfigurable by design, and orchestrated by a unified, AI-native factory operating layer that connects design through production. Recent breakthroughs in robotics and physical AI have shifted autonomous manufacturing from a theoretical promise to a deployable capability, triggering a global race to operationalize these systems at scale. The challenge is no longer whether autonomy works, but who can integrate AI-native robotics into real production environments. The ability to manufacture advanced products domestically is now central to U.S. economic competitiveness and national security. Foundational is focused on deploying these capabilities at scale during a decisive decade for American industrial leadership. We are hiring a Head of AI Manufacturing to own the design, development, and deployment of AI systems across Foundational’s manufacturing platforms. This role is responsible for defining how machine learning and data-driven systems are applied in production environments to improve quality, throughput, reliability, and scalability. This role requires both technical leadership and hands-on execution. You will set the AI architecture and standards while working directly with software, controls, and manufacturing teams to integrate AI into real-world factory systems. You will ensure AI capabilities are production-ready, secure, and deliver measurable operational impact as our factories scale.

Requirements

  • 8+ years of experience in AI, machine learning, or applied data systems leadership, including technical ownership of production AI systems.
  • Deep hands-on experience designing and deploying full-stack AI solutions, including data pipelines, model development, deployment, and monitoring.
  • Strong applied background in machine learning domains relevant to manufacturing, such as computer vision, time-series analysis, optimization, or predictive modeling.
  • Proven experience integrating AI systems into production software, automation, or industrial platforms with real-world reliability, latency, and safety constraints.
  • Fluency with modern software and infrastructure stacks for AI deployment, including cloud platforms, containerization, and MLOps workflows.
  • Strong cross-functional leadership skills, with experience working closely with software, hardware, and operations teams to deliver end-to-end systems.
  • Deep alignment with Foundational’s mission to reindustrialize the United States, motivated by long-term impact, ownership, and building enduring platforms.

Responsibilities

  • Define and lead Foundational’s AI strategy for manufacturing, aligning machine learning and data systems with operational goals across automation, quality, throughput, and cost.
  • Architect and deploy full-stack AI systems spanning data ingestion, feature pipelines, model training, deployment, monitoring, and feedback loops in production environments.
  • Develop and integrate AI-driven capabilities such as perception, anomaly detection, predictive analytics, optimization, and decision support into manufacturing and automation systems.
  • Partner closely with software, controls, robotics, and manufacturing engineering teams to integrate AI models into real-time, production-ready systems.
  • Lead experimentation and proof-of-concept efforts to evaluate new AI approaches and rapidly translate successful prototypes into deployed systems.
  • Establish standards for reliability, security, monitoring, and lifecycle management of AI systems operating in mission-critical manufacturing environments.
  • Build, mentor, and lead a team of AI engineers and applied data scientists, setting technical direction while remaining engaged in system design and problem-solving.
  • Stay current on advances in AI and machine learning and assess their practical applicability to Foundational’s manufacturing platforms and long-term roadmap.
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