TSMC Arizona - AI Forward Deployed Engineer

TSMC • USA-Arizona, AZ

6d • Onsite

About The Position

The AI Forward Deployed Engineer works at the intersection of artificial intelligence and semiconductor manufacturing, embedding with TSMC Arizona business and engineering teams to understand operational challenges and domain-specific needs. The role rapidly designs, prototypes, and validates AI applications that address operational pain points and connects emerging AI capabilities with fab operations.

The engineer collaborates with end users to build and test prototypes, then partners with IT and MLOps teams to transition successful solutions into secure, scalable enterprise systems. The position is based on-site at TSMC Arizona’s Phoenix facility. The stated schedule is Monday through Friday, 9 a.m. to 6 p.m., with on-call duty every two months; during the on-call week, the employee must be available to respond 24/7.

Requirements

• Bachelor’s degree, preferably in Computer Science, Management Information Systems, Information Systems, Data Science, Industrial Engineering, or a related engineering field; alternatively, at least 3 years of experience in software development and systems integration.
• Solid understanding of software engineering fundamentals and agile development methodologies.
• Strong programming skills for implementation and AI integration.
• Familiarity with web or application prototyping frameworks such as Streamlit, Gradio, FastAPI, or Node.js.
• Hands-on experience or a strong project portfolio using generative AI tools and APIs, such as OpenAI or Anthropic, and orchestration frameworks such as LangChain, LlamaIndex, or Auto-GPT.
• Familiarity with basic SQL or NoSQL database systems and vector databases such as Pinecone, Milvus, or Chroma.
• Ability to quickly learn semiconductor manufacturing concepts, engineering workflows, and business logic.
• Proactive, resourceful, and passionate about applying creative AI tools to practical problems.
• Strong communication and collaboration skills to build trust with business stakeholders and translate their needs into technical solutions.
• Ability and willingness to work Monday through Friday, 9 a.m. to 6 p.m., and be on call every two months, responding 24/7 during the on-call week.
• Willingness and ability to work on-site at the Phoenix, Arizona facility.
• Ability to sit for extended periods while working at a computer and use a computer, keyboard, and mouse for prolonged periods.

Responsibilities

• Collaborate with engineering, manufacturing, and business units to understand daily operations, domain knowledge, and workflow bottlenecks.
• Design and rapidly build functional AI prototypes and proofs of concept using generative AI, large language models, retrieval-augmented generation architectures, and AI agents.
• Use low-code/no-code AI platforms, APIs, and rapid-application frameworks to validate and iterate on solutions with end users.
• Conduct agile testing and performance evaluation to assess prototype feasibility, accuracy, and business value.
• Partner with core IT and MLOps teams to transition successful prototypes into secure, scalable, production-ready enterprise systems.
• Research, evaluate, and adopt emerging AI tools, open-source libraries, and methodologies to accelerate prototyping.
• Maintain technical documentation and user guides for validated prototypes to support handovers and future productization.

Benefits

• Medical, dental, and vision plans.
• Income-protection programs providing financial assistance during injury or illness.
• 401(k) retirement savings plan with competitive employer contributions.
• Paid time-off programs and holidays.

What This Job Offers

• Job Type: Full-time