Director of AI
Job in
San Jose, Santa Clara County, California, 95199, USA
Listed on 2026-06-18
Listing for:
Alldus International Consulting Ltd
Full Time
position Listed on 2026-06-18
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Artificial Intelligence
Job Description & How to Apply Below
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.
- 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.
- Salary: $160,000-$180,000
- Meaningful Equity.
- Flexible hybrid working.
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