AI Forward Deployed Engineer

TSMC; Phoenix (AZ); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Plans

401(k) Retirement Savings Plan

Paid Time-Off Programs and Holidays

Job summary

TSMC Arizona is seeking an AI Forward Deployed Engineer to embed with our manufacturing teams in Phoenix, translating complex fab challenges into scalable AI solutions.

You will prototype using Generative AI, LLMs, and rapid frameworks, work with IT and MLOps, and document results to hand over for production deployment. This role requires deep software skills and strong collaboration to learn semiconductor processes quickly.

Qualifications

• Bachelor's degree or 3+ years in software development and systems integration.
• Strong fundamentals in software engineering and agile methods.
• Proven ability to prototype AI solutions and validate quickly.
• Experience with AI toolchains, APIs, and orchestration frameworks.

Responsibilities

• Collaborate with engineering, manufacturing, and business units to understand daily operations and bottlenecks.
• Design and build AI prototypes and PoCs using Generative AI, LLMs, RAG, and AI agents.
• Leverage low-code/no-code platforms and rapid frameworks to iterate with end-users.
• Conduct agile testing and evaluate prototypes for feasibility and value.
• Partner with IT and MLOps to productionize successful prototypes.
• Research and adopt emerging AI tools and methodologies to accelerate prototyping.
• Maintain detailed documentation and user guides for validated prototypes.

Skills

Software engineering

Agile methodologies

Prototype frameworks

Generative AI tools

OpenAI API

Anthropic API

LangChain

LlamaIndex

Auto-GPT

Pinecone

Milvus

Chroma

Streamlit

Gradio

FastAPI

Node.js

SQL/NoSQL

Education

Bachelor's degree

Tools

OpenAI API

Anthropic API

LangChain

LlamaIndex

Auto-GPT

Pinecone

Milvus

Chroma

Streamlit

Gradio

FastAPI

Node.js

SQL

NoSQL

Job description

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.

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.

Minimum Qualifications/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.
• 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/NoSQL) and vector databases (e.g., Pinecone, Milvus, or Chroma).
• Interpersonal Skills:
  • 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 creative, cutting-edge AI tools to solve practical problems rapidly.
  • Excellent communication and collaborative skills to build trust with diverse business stakeholders and translate their needs into technical solutions.
• Physical Requirements:
  • Ability to sit for extended periods while working at a computer.
  • Ability to use a computer, keyboard, and mouse for prolonged periods.

Shift

• TSMC Arizona operates 24/7, 365 days a year. This position requires candidates to have the ability and willingness to work from Monday through Friday 9am-6pm, and work on-call every 2 months. When on-call, candidates are expected to respond to the call 24x7 for that whole week.

Application Consideration Consent

By applying to this position, I acknowledge and agree that my application and qualifications may be considered for other roles within the company. However, I reserve the right to withdraw my consent for future consideration of other roles within the company at any time. Candidates must be willing and able to work on-site at our Phoenix Arizona facility.

Benefits

• Medical, Dental, and Vision Plans: Choose the options that best fit your and your family’s needs.
• Income-Protection Programs: Financial assistance during injury or illness.
• 401(k) Retirement Savings Plan: Secure your financial future with competitive employer contributions.
• Paid Time-Off Programs and Holidays: Recharge and spend quality time with loved ones.

Work Location

5088 W. Innovation Circle, Phoenix, AZ 85083

TSMC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.

We encourage all qualified individuals to apply and welcome applications from diverse backgrounds and experiences. Candidates must be able to perform the essential functions of the job with or without reasonable accommodation. If you need an accommodation as part of the application process, please contact [e-mail].

TSMC Arizona maintains the right to change or assign other duties to this position

All offers of employment are contingent upon the successful completion of TSMC Arizona’s pre-employment screening process. This process may include verifying the candidate’s identity, confirming legal authorization to work in the offered position's location, educational background and a comprehensive background check, where permitted by local regulations.