H-1B Visa Senior Forward Deployed Engineer Jobs
Senior Forward Deployed Engineers work embedded in client environments, solving complex technical problems at the intersection of software and operations. Employers in enterprise software and data infrastructure regularly sponsor H-1B visas for this role, which typically qualifies as a specialty occupation requiring a bachelor's degree in computer science, engineering, or a related field.
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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.
As a valued member of the TSMC family, we place a significant focus on your health and well-being. When you are at your best—physically, mentally, and financially—our company thrives. TSMC offers a comprehensive and competitive benefits program that includes:
- 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 P_LOA@tsmc.com.
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.
LI-Onsite
Date: Sep 17, 2026
Country/Region: US
City: Phoenix
Company: TSMC Arizona
Nearest Major Market: Phoenix
AI Forward Deployed Engineer
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.
As a valued member of the TSMC family, we place a significant focus on your health and well-being. When you are at your best—physically, mentally, and financially—our company thrives. TSMC offers a comprehensive and competitive benefits program that includes:
- 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 P_LOA@tsmc.com.
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.
LI-Onsite
Date: Sep 17, 2026
Country/Region: US
City: Phoenix
Company: TSMC Arizona
Nearest Major Market: Phoenix
See all 339+ H-1B Visa Senior Forward Deployed Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Senior Forward Deployed Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Senior Forward Deployed Engineer
Verify your role qualifies as specialty occupation
Pull the O*NET profile for Software Developers or Systems Engineers and document the degree requirements. USCIS scrutinizes Forward Deployed Engineer petitions when job duties blend consulting with engineering, so a strong specialty occupation argument starts before you apply.
Target employers with active LCA filing history
Use Migrate Mate to filter companies by verified DOL Labor Condition Application filings for engineering roles. Employers with consistent LCA activity have established H-1B workflows, which reduces petition errors and delays during your onboarding.
Request the prevailing wage tier before negotiating
Run the OFLC Wage Search using SOC code 15-1252 or 15-1299 and the work location's metropolitan area before accepting an offer. Your employer's LCA must certify at least the Level I wage, and knowing the tiers helps you negotiate without accidentally pricing yourself into a filing problem.
Confirm the employer uses E-Verify before your start date
Forward Deployed Engineers often work on-site at client facilities. If those clients hold federal contracts, E-Verify enrollment may be contractually required. Confirm your employer's E-Verify status during offer negotiation, not after your I-9 is complete.
Prepare a detailed itinerary of client work locations
USCIS and DOL require separate LCA filings for each worksite where you spend more than a few days. Document all anticipated client sites by address before your petition is filed so your employer can cover every location and avoid compliance gaps.
File for premium processing if your start date is fixed
Forward Deployed Engineers typically start on structured client deployment schedules. Standard H-1B processing runs several months, so premium processing through USCIS guarantees a decision within 15 business days and protects your client commitment dates.
H-1B Visa Senior Forward Deployed Engineer: Frequently Asked Questions
Does a Senior Forward Deployed Engineer role qualify for H-1B sponsorship?
Yes, provided the position requires at least a bachelor's degree in a specific technical field such as computer science, software engineering, or a related discipline. The challenge is that Forward Deployed Engineer duties often blend client-facing work with deep technical implementation, so the employer's petition must clearly document the degree requirement and tie each core duty to that specific field of study.
How do I find employers actively sponsoring H-1B visas for this role?
Search Migrate Mate to browse Senior Forward Deployed Engineer openings filtered by employers with verified H-1B sponsorship history. Companies in enterprise data, AI infrastructure, and SaaS consistently file LCAs for this title, and focusing on those with active filing records reduces the risk of landing at an employer unfamiliar with the H-1B process.
What happens if my role requires working at multiple client sites?
DOL rules require your employer to file a separate Labor Condition Application for each worksite where you work more than 30 days per year or more than 10 consecutive days. Before your petition is filed, compile a complete list of anticipated client locations with addresses so your employer can include all sites and avoid compliance violations that could jeopardize your status.
Can I change employers mid-H-1B if I get a better offer?
Yes, through H-1B portability under AC21. Once your H-1B has been approved and you've been in valid status, you can start working for a new employer as soon as they file a new H-1B petition on your behalf, without waiting for approval. The new employer must file before your current authorized period ends and the new role must remain in a specialty occupation.
How does the H-1B cap lottery affect hiring timelines for this role?
Cap-subject H-1B petitions are subject to the annual lottery with an 85,000-slot limit, and registration opens each March for an October 1 start date. If you're currently on OPT or another status, your employer needs to plan around this cycle. Some Forward Deployed Engineer roles at universities or nonprofit research institutions may qualify for cap-exempt status, which bypasses the lottery entirely.