About The Position

The HR Systems Forward Deployed Engineer works directly with HR business partners to understand workflow pain points and turn them into working system solutions. The role rapidly designs and builds functional prototypes using Generative AI, large language models, and AI agents, validates them with HR end users, and collaborates with IT teams to move successful ideas into secure, production-ready systems. It bridges HR needs with modern AI technology. The position is based on-site at TSMC Arizona’s Phoenix facility. The regular schedule is Monday through Friday, 9 a.m. to 6 p.m., with on-call duty every two months. During an on-call week, the employee must be available to respond 24/7. The role is primarily office-based and involves extended computer work. Occasional standing, walking, reaching, bending, and carrying objects up to 10 pounds may be required.

Requirements

  • Master’s degree in Computer Science, Software Engineering, Management Information Systems, Data Science, Industrial Engineering, or a related technical or engineering field; alternatively, a bachelor’s degree in one of these fields and at least two years of professional experience in software development, systems integration, and AI/ML work.
  • Strong programming skills, preferably in Python, and ability to quickly build working prototypes using tools such as Streamlit, Gradio, FastAPI, or similar.
  • Working knowledge of Generative AI concepts and APIs, such as OpenAI or Anthropic; deep AI/ML specialization is not required.
  • High learning agility and ability to quickly grasp complex semiconductor manufacturing concepts, HR workflows, engineering processes, and business logic.
  • Strong problem-solving skills, resourcefulness, and enthusiasm for applying creative, cutting-edge technologies to practical problems.
  • Excellent communication and collaboration skills to bridge technical teams and business stakeholders, translate complex needs into technical solutions, and build organizational trust.
  • Strong organization and attention to detail; ability to work under pressure in a fast-paced environment and adapt to changing priorities and business needs.
  • Willingness and ability to work on-site at the Phoenix, Arizona facility.
  • 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.
  • Ability to sit for extended periods and use a computer, keyboard, mouse, and standard office equipment for prolonged periods; ability to occasionally stand, walk, reach, bend, and carry objects up to 10 pounds.

Nice To Haves

  • Prior exposure to HR systems such as HRMS, payroll, ATS, time and attendance, or performance management systems.
  • Experience with orchestration frameworks such as LangChain or LlamaIndex, or vector databases such as Pinecone, Milvus, or Chroma.
  • Front-end or full-stack development experience.
  • Awareness of data privacy and personally identifiable information (PII) handling best practices.

Responsibilities

  • Partner with HR business partners to understand HR workflows, domain knowledge, and pain points, including onboarding, payroll, time and attendance, and talent management.
  • Design and rapidly build functional AI prototypes and proofs of concept using Generative AI, LLMs, retrieval-augmented generation (RAG), and AI agents to address HR-specific needs.
  • Use low-code/no-code platforms, APIs, and rapid-prototyping frameworks to validate and iterate on solutions with HR end users.
  • Conduct agile testing and evaluate prototypes for feasibility, accuracy, and business value through rapid feedback loops.
  • Partner with core IT and MLOps teams to transition validated prototypes into secure, scalable, production-ready systems, integrating with HR SaaS platforms where needed.
  • Maintain clear documentation and user guides to support prototype handover 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 employer contributions.
  • Paid time-off programs and holidays.
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