AI Forward Deployed Engineer

About the role

TSMC Arizona’s first fab will operate its leading‑edge N4 process, with production starting in the first half of 2025. The second fab will use N3 and N2 process technology and be operational in 2028. A third fab will manufacture chips using 2nm or more advanced technology, with production by the end of the decade. As an AI Forward Deployed Engineer, you will work at the intersection of advanced AI and semiconductor manufacturing, embedded with business and engineering teams to understand domain‑specific challenges, design and prototype AI solutions using modern generative AI, LLMs, RAG, AI agents, low‑code/no‑code platforms, and help transition prototypes into production‑ready systems. The role is based on‑site at 5088 W. Innovation Circle, Phoenix, AZ 85083.

Responsibilities

• 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.

Requirements

• Education: 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.
• Physical requirements: Ability to sit for extended periods while working at a computer; ability to use a computer, keyboard, and mouse for prolonged periods.

Qualifications

• Technical skills: 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., LangChain, LlamaIndex, or Auto‑GPT).
• Familiarity with basic database systems (SQL/