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Updated daily · Sep 22, 2026
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AI Engineering Tech Lead

TSMCPhoenix, AZ

This leader will guide several AI initiatives from initial problem definition through reliable production deployment at TSMC’s Arizona fab. The work may involve computer vision, predictive modeling, anomaly detection, robotics, reinforcement learning, generative AI, or agent-based systems, depending on the manufacturing challenge. The position is responsible for architecture, coding standards, experimentation, MLOps/LLMOps, monitoring, governance, and scaling successful applications across TSMC sites. It also includes mentoring a sizable engineering team and coordinating with manufacturing specialists and distributed global groups. The role suits an experienced AI/ML engineering leader who remains technically hands-on and has delivered measurable results from prototypes into demanding production environments.

Requirements

Master’s degree in AI/ML, computer science, engineering, or a related technical fieldAt least 5 years developing, deploying, and operating production AI/ML applicationsExperience leading teams of approximately 7 or more engineers across multiple projectsStrong Python and software engineering skills with PyTorch or a comparable frameworkPractical expertise in Kubernetes, containerization, MLOps, CI/CD, monitoring, and troubleshootingAbility to communicate technical tradeoffs and collaborate with manufacturing experts and distributed teams
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About TSMC Arizona

TSMC's planned $265 billion North Phoenix semiconductor campus is the largest foreign direct investment commitment in a greenfield project in U.S. history and anchors advanced AI chipmaking.

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