AI Forward Deployed Engineer
About the role
As an AI Forward Deployed Engineer at TSMC Arizona, you will embed directly within business and engineering teams across fab operations to prototype and validate AI applications that resolve domain-specific operational challenges.
What you'll do
- Collaborate with engineering, manufacturing, and business units to understand daily operations, domain knowledge, and workflow bottlenecks.
- Design and rapidly build functional AI prototypes and Proof-of-Concepts (PoCs) using Generative AI, Large Language Models (LLMs), RAG architectures, and AI agents.
- Leverage low-code/no-code AI platforms, APIs, and rapid-application frameworks to validate and iterate solutions directly with end-users.
- Conduct testing and performance evaluation on prototypes to verify feasibility, accuracy, and operational value within tight feedback loops.
- Partner with core IT and MLOps teams to transition validated prototypes into secure, scalable, and production-ready enterprise systems.
- Maintain technical documentation and user guides for prototypes to support handovers and productization.
What you'll need
- Bachelor's degree in Computer Science, Management Information Systems, Information Systems, Data Science, Industrial Engineering, or a related engineering field, or a minimum of 3 years of experience in software development and systems integration.
- Solid understanding of software engineering fundamentals and agile development methodologies.
- Strong programming skills for AI integration and familiarity with web/app prototyping frameworks such as Streamlit, Gradio, FastAPI, or Node.js.
- Hands-on experience or project portfolio utilizing Generative AI tools, APIs (such as OpenAI or Anthropic), and orchestration frameworks (such as LangChain, LlamaIndex, or Auto-GPT).
- Familiarity with basic database systems (SQL/NoSQL) and vector databases such as Pinecone, Milvus, or Chroma.
- Willingness and ability to work on-site in Phoenix, Arizona, with standard hours Monday through Friday, 9am–6pm, and 24x7 on-call coverage one week every 2 months.
Skills: Generative AI, LLM, Python, Streamlit, prototyping
More semiconductor jobs: TSMC Arizona jobs · Software engineer jobs
First seen in our index 55 days ago, below the 58-day median for Software Engineering Semiconductor roles.
Software Engineering Semiconductor · Systems Software
|
Open roles in category
336
|
Median days since first seen
58 d
|
Category median salary (all employers)
$155k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | TSMC Arizona | All employers we track in this specialty (336 roles · 54 employers) |
|---|---|---|
| Open roles in this specialty | 2 | 336 |
| Open roles in the wider Software, Firmware & Systems family | 17 | 6684 · 161 employers |
| Median days since first seen | 119 d | 58 d (−61 d vs this employer) |
| Median salary (USD postings) | n/a | $155k |
Skills observed across this category: Generative AI, LLM, Python, Streamlit, prototyping
Who's hiring in this category
- NVIDIA · 35 open roles · median 61 d
- Keysight Technologies · 29 open roles · median 55 d
- Cadence Design Systems · 28 open roles · median 232 d
- KLA Corporation · 26 open roles · median 149 d
- Qualcomm · 25 open roles · median 22 d
- Applied Materials · 24 open roles · median 40 d
How we counted: 336 open Software Engineering Semiconductor (Systems Software) roles from 54 employers tracked in the SemiconductorJobs index, counted 12 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there, and is counted in the wider Software, Firmware & Systems family row. Days are counted from when our index first saw each posting, not from the employer's original posting date.