AI Forward Deployed Engineer

AI Forward Deployed Engineer

A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona’s first fab will operate its leading-edge semiconductor process technology (N4 process), starting production in the first half of 2025. The second fab will utilize its leading edge N3 and N2 process technology and be operational in 2028. The recently announced third fab will manufacture chips using 2nm or even more advanced process technology, with production starting by the end of the decade.

America’s leading technology companies are ready to rely on TSMC Arizona for the next generations of chips that will power the digital future.

As an AI Forward Deployed Engineer
, you will demonstrate a strong sense of reliability and enthusiasm and will possess an attitude that embodies our core values – Integrity, Commitment, Innovation and Customer Trust.

• As an AI Forward Deployed Engineer, you will work at the intersection of advanced artificial intelligence and semiconductor manufacturing. You will be deployed directly to the "front lines" of TSMC Arizona's operations, embedding yourself within business and engineering teams to deeply understand their domain-specific challenges. Armed with state-of-the-art AI tools, you will rapidly design, prototype, and validate solutions, turning complex operational pain points into agile, functional AI applications.
  
  Your work will bridge the gap between cutting-edge AI technology and real-world fab execution.

• Collaborate with engineering, manufacturing, and business units to deeply understand their daily operations, complex domain knowledge, and workflow bottlenecks.
• Design and rapidly build functional AI prototypes and Proof-of-Concepts (PoCs) using modern Generative AI, Large Language Models (LLMs), RAG architectures, and AI agents to address domain-specific needs.
• Leverage low-code/no-code AI platforms, APIs, and modern rapid-application frameworks to quickly validate and iterate solutions in close collaboration with end-users.
• Conduct agile testing and performance evaluation on prototypes to ensure feasibility, accuracy, and business value within tight feedback loops.
• Partner with core IT and MLOps teams to transition successful "forward-deployed" prototypes into secure, scalable, and production-ready enterprise systems.
• Research, evaluate, and adopt emerging AI tools, open-source libraries, and methodologies to continuously accelerate the team’s prototyping speed.
• Maintain detailed technical documentation and user guides for validated prototypes to support seamless handovers and future productization.

• Bachelor's degree, preferably in Computer Science, Management Information Systems, Information Systems, Data Science, Industrial Engineering or a related engineering field or minimum 3 years' experience in software development and systems integration.

• Solid understanding of software engineering fundamentals and agile development methodologies.
• Strong programming skills in implementation (essential for AI integration) and familiarity with web/app prototyping frameworks (e.g., Streamlit, Gradio, FastAPI, or Node.js).
• Hands‑on experience or a strong project portfolio in utilizing Generative AI tools, APIs (e.g., OpenAI, Anthropic), and orchestrating frameworks (e.g., Lang Chain, Llama Index, or Auto‑GPT).
• Familiarity with basic database systems (SQL/No
  
  SQL) and vector databases (e.g., Pinecone, Milvus, or Chroma).

• High learning agility with the ability to quickly grasp complex semiconductor manufacturing concepts, engineering workflows, and business logic.
• Highly proactive, resourceful, and passionate about using…