San Jose, California

  Software Engineering

0

Permanent

Our client, an AI-driven startup within the manufacturing industry, is hiring a hands-on Director of AI to join their team in San Jose, CA. The successful candidate will play a key role in shaping the company’s AI vision, developing the knowledge graph, agentic systems and machine learning infrastructure that drive intelligent decision-making across global manufacturing operations.

Responsibilities

  • Lead the design, development and evolution of the company’s AI and machine learning architecture.

  • Build, deploy and scale production-grade knowledge graph systems that power intelligent decision-making.

  • Develop advanced AI agents capable of reasoning across complex manufacturing, supply chain and operational datasets.

  • Create intelligent planning, forecasting and decision-support solutions using real-time data.

  • Collaborate closely with founders, engineers and customers to transform industry challenges into practical AI-powered products.

  • Establish and maintain best practices for model development, deployment, evaluation, monitoring and governance.

  • Support the growth of the AI function by helping to recruit, mentor and develop future AI and machine learning team members.

Skillset

  • At least 6 years of experience in artificial intelligence, machine learning or applied research, with a strong record of delivering real-world impact.

  • Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning or similar.

  • Demonstrate a proven ability to build, deploy and scale AI and machine learning systems in production environments.

  • Have hands-on experience designing, implementing and managing knowledge graph solutions at scale.

  • Possess deep expertise in agentic AI, reasoning frameworks, retrieval systems or multi-agent architectures.

  • Show a strong understanding of modern machine learning infrastructure, MLOps practices and model lifecycle management.

  • Communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders.

  • Track record of building and scaling enterprise SaaS products and platforms is a plus.

  • Exposure to manufacturing, supply chain or industrial technology environments is a bonus.

Benefits

  • Salary: $160,000-$180,000

  • Meaningful Equity.

  • Flexible hybrid working.

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