AI Engineering Tech Lead

TSMCLocation USA-Arizona

ActiveVerified 6h ago

Job description

Company TSMC Arizona Corporation Location USA-Arizona Posted Sep 22, 2026 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 it’s 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. Build AI that delivers real manufacturing impact—from Arizona to TSMC’s global fab network. TSMC Arizona is seeking a hands-on AI Engineering Tech Lead to lead the development and production deployment of AI solutions that improve manufacturing efficiency, quality, and engineering productivity. You will partner with fab domain experts to turn complex operational challenges into reliable, scalable applications. Your work may span computer vision, anomaly detection, predictive analytics, robotics, reinforcement learning, generative AI and agentic AI, selecting the right approach for each problem. Based in Arizona, you will own local delivery while contributing reusable solutions and engineering practices across TSMC’s global manufacturing footprint. Key ResponsibilitiesLead multiple AI projects from concept to production. Translate manufacturing needs into technical specifications, delivery plans, and measurable business outcomes.Stay hands-on. Design architectures, develop and review code, guide experimentation, troubleshoot failures, and resolve performance and reliability issues.Lead and mentor engineers. Set technical direction, manage dependencies, and establish engineering standards across concurrent application projects.Develop practical AI/ML solutions. Work with domain experts on data collection, labeling, model development, evaluation, and integration into engineering workflows and manufacturing systems.Own production operations. Establish MLOps/LLMOps practices covering reproducibility, versioning, CI/CD, deployment, monitoring, model drift, incident response, and rollback.Build trustworthy applications. Implement appropriate validation, access controls, traceability, and human oversight for systems supporting critical decisions and actions.Scale successful solutions. Collaborate with global teams to share reusable components and deployment practices, adapting solutions to site-specific requirements. Required QualificationsMaster’s degree in AI/ML, Computer Science, Industrial Engineering, Computer Engineering, Electrical Engineering, or a related technical discipline.5+ years of professional experience developing AI/ML applications, including substantial hands-on responsibility for production deployment and ongoing operations.Proven experience leading teams of at least 7 engineers, typically 7–10 or more, across multiple AI application projects.A demonstrated record of taking AI solutions beyond prototypes into sustained production use, with measurable improvements in quality, productivity, reliability, or cost.Strong applied expertise in one or more areas such as computer vision, anomaly detection, time-series modeling, predictive analytics, robotics, reinforcement learning, or generative AI, with the ability to guide work across adjacent domains.Strong Python and software engineering skills, including experience with PyTorch or comparable ML frameworks, data pipelines, APIs, automated testing, and performance optimization.Practical experience with containerization, Kubernetes, MLOps, and CI/CD, plus production monitoring and troubleshooting.Familiarity with Agile and Spec-Driven Development (SDD), including clear requirements, testable acceptance criteria, and disciplined release practices.Ability to communicate technical tradeoffs, prioritize competing needs, and collaborate effectively with domain experts and distributed engineering teams. Preferred QualificationsExperience in semiconductor manufacturing, industrial automation, or other demanding production environments.Hands-on experience with LangChain/LangGraph, supported by deep knowledge of agent harness engineering: context and memory management, state persistence and checkpointing, tool execution, retries and recovery, human approval flows, guardrails, tracing, and automated evaluation.Experience with LLM fine-tuning, LoRA/QLoRA, knowledge distillation, quantization, large-scale LLM serving with vLLM/SGLang, RAG/KG-RAG, or multi-agent systems, including reusable Agent Skills.Experience with deployment and observability tools such as Azure DevOps, Argo CD, Harbor, Prometheus, Grafana, ELK Stack, and OpenTelemetry.Experience deploying vision or robotics applications on edge devices, or transferring reinforcement learning solutions from simulation into operational environments.Experience scaling AI applications across multiple physical sites.Anthropic Claude Certified Architect certification, at the Foundations or Professional level.Kaggle Master or Grandmaster recognition is also a plus.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.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. 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 [email protected]. TSMC Core Values At TSMC, we invite talented individuals who share our vision and values to contribute to our continued success. Our core values are the foundation of our culture, guiding every decision and action. We seek applicants who deeply resonate with these principles and embody them in their work: Integrity: Tell the truth. We do not brag. We do not make commitments lightly. Once we make a commitment, we devote ourselves completely to meeting that commitment.Commitment: Employees are dedicated to the company, view the company’s success as their own and work diligently to make their best contributions. As commitment is mutual, the Company strives to serve the best interests of its employees. Innovation: Innovation is the wellspring of the Company's growth. It means more than new ideas; it means putting ideas into practice. Customer Trust: We strive to build deep and enduring relationships with our customers, who trust and rely on us to be part of their success over the long term. (For more details on TSMC’s Core Values, please visit：https://www.tsmc.com/english/aboutTSMC/values) Back to job list Apply Share Email Facebook LinkedIn X // Select all anchor elements that have a jobId in their href const anchors = document.querySelectorAll('.custom-links a[href*="jobId="]'); const URLSource = window.location.href.match(/source=([^&]+)/)[1]; const URLTags = window.location.href.match(/tags=([^&]+)/)[1]; // Loop through each matching anchor element anchors.forEach(anchor => { // Get the current href of the anchor const href = anchor.getAttribute('href'); // Extract the jobId using a regular expression const jobIdMatch = href.match(/jobId=(\d+)/); const hasCareersPath = href.match(/\/careers\//); if (jobIdMatch) { const jobId = jobIdMatch[1]; // Capture the jobId value // Construct the new href with the extracted jobId const newHrefStart = anchor.getAttribute("href").split("?")[0], newHref = newHrefStart + `?jobId=${jobId}&source=${URLSource}&tags=${URLTags}`; // Set the new href attribute anchor.setAttribute('href', newHref); } }); { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": null, "description": "\u003Cp style=\"line-height: normal; margin: 0in 0in 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003EA job at \u003Cstrong\u003ETSMC Arizona\u003C\/strong\u003E offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona\u2019s first fab will operate it\u2019s 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\u2019s leading technology companies are ready to rely on TSMC Arizona for the next generations of chips that will power the digital future.\u003C\/p\u003E\u003Cp style=\"line-height: normal; margin: 0in 0in 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u00a0\u003C\/p\u003E\u003Cp style=\"line-height: normal; margin: 0in 0in 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u003Cstrong\u003EBuild AI that delivers real manufacturing impact\u2014from Arizona to TSMC\u2019s global fab network.\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"line-height: normal; margin: 0in 0in 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u00a0\u003C\/p\u003E\u003Cp style=\"line-height: normal; margin: 0in 0in 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003ETSMC Arizona is seeking a hands-on \u003Cstrong\u003EAI Engineering Tech Lead\u003C\/strong\u003E to lead the development and production deployment of AI solutions that improve manufacturing efficiency, quality, and engineering productivity.\u003C\/p\u003E\u003Cp style=\"line-height: normal; margin: 0in 0in 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u00a0\u003C\/p\u003E\u003Cp style=\"line-height: normal; margin: 0in 0in 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003EYou will partner with fab domain experts to turn complex operational challenges into reliable, scalable applications. Your work may span \u003Cstrong\u003Ecomputer vision, anomaly detection, predictive analytics, robotics, reinforcement learning, generative AI and agentic AI\u003C\/strong\u003E, selecting the right approach for each problem.\u003C\/p\u003E\u003Cp style=\"line-height: normal; margin: 0in 0in 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u00a0\u003C\/p\u003E\u003Cp style=\"line-height: normal; margin: 0in 0in 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003EBased in Arizona, you will own local delivery while contributing reusable solutions and engineering practices across TSMC\u2019s global manufacturing footprint.\u003C\/p\u003E\u003Cp style=\"line-height: normal; margin: 0in 0in 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u00a0\u003C\/p\u003E\u003Cp style=\"line-height: normal; margin: 0in 0in 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u003Cstrong\u003EKey Responsibilities\u003C\/strong\u003E\u003C\/p\u003E\u003Cul style=\"margin-top: 0in; margin-bottom: 0in;\" type=\"disc\"\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u003Cstrong\u003ELead multiple AI projects from concept to production.\u003C\/strong\u003E Translate manufacturing needs into technical specifications, delivery plans, and measurable business outcomes.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u003Cstrong\u003EStay hands-on.\u003C\/strong\u003E Design architectures, develop and review code, guide experimentation, troubleshoot failures, and resolve performance and reliability issues.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u003Cstrong\u003ELead and mentor engineers.\u003C\/strong\u003E Set technical direction, manage dependencies, and establish engineering standards across concurrent application projects.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u003Cstrong\u003EDevelop practical AI\/ML solutions.\u003C\/strong\u003E Work with domain experts on data collection, labeling, model development, evaluation, and integration into engineering workflows and manufacturing systems.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u003Cstrong\u003EOwn production operations.\u003C\/strong\u003E Establish MLOps\/LLMOps practices covering reproducibility, versioning, CI\/CD, deployment, monitoring, model drift, incident response, and rollback.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u003Cstrong\u003EBuild trustworthy applications.\u003C\/strong\u003E Implement appropriate validation, access controls, traceability, and human oversight for systems supporting critical decisions and actions.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u003Cstrong\u003EScale successful solutions.\u003C\/strong\u003E Collaborate with global teams to share reusable components and deployment practices, adapting solutions to site-specific requirements.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp style=\"line-height: normal; margin: 0in 0in 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u00a0\u003C\/p\u003E\u003Cp style=\"line-height: normal; margin: 0in 0in 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u003Cstrong\u003ERequired Qualifications\u003C\/strong\u003E\u003C\/p\u003E\u003Cul style=\"margin-top: 0in; margin-bottom: 0in;\" type=\"disc\"\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u003Cstrong\u003EMaster\u2019s degree\u003C\/strong\u003E in AI\/ML, Computer Science, Industrial Engineering, Computer Engineering, Electrical Engineering, or a related technical discipline.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u003Cstrong\u003E5+ years of professional experience\u003C\/strong\u003E developing AI\/ML applications, including substantial hands-on responsibility for production deployment and ongoing operations.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003EProven experience \u003Cstrong\u003Eleading teams of at least 7 engineers\u003C\/strong\u003E, typically 7\u201310 or more, across multiple AI application projects.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003EA demonstrated record of taking AI solutions beyond prototypes into sustained production use, with measurable improvements in quality, productivity, reliability, or cost.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003EStrong applied expertise in one or more areas such as \u003Cstrong\u003Ecomputer vision, anomaly detection, time-series modeling, predictive analytics, robotics, reinforcement learning, or generative AI\u003C\/strong\u003E, with the ability to guide work across adjacent domains.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003EStrong \u003Cstrong\u003EPython and software engineering skills\u003C\/strong\u003E, including experience with PyTorch or comparable ML frameworks, data pipelines, APIs, automated testing, and performance optimization.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003EPractical experience with \u003Cstrong\u003Econtainerization, Kubernetes, MLOps, and CI\/CD\u003C\/strong\u003E, plus production monitoring and troubleshooting.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003EFamiliarity with \u003Cstrong\u003EAgile and Spec-Driven Development (SDD)\u003C\/strong\u003E, including clear requirements, testable acceptance criteria, and disciplined release practices.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003EAbility to communicate technical tradeoffs, prioritize competing needs, and collaborate effectively with domain experts and distributed engineering teams.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp style=\"line-height: normal; margin: 0in 0in 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u00a0\u003C\/p\u003E\u003Cp style=\"line-height: normal; margin: 0in 0in 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u003Cstrong\u003EPreferred Qualifications\u003C\/strong\u003E\u003C\/p\u003E\u003Cul style=\"margin-top: 0in; margin-bottom: 0in;\" type=\"disc\"\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003EExperience in \u003Cstrong\u003Esemiconductor manufacturing, industrial automation, or other demanding production environments\u003C\/strong\u003E.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003EHands-on experience with \u003Cstrong\u003ELangChain\/LangGraph\u003C\/strong\u003E, supported by deep knowledge of \u003Cstrong\u003Eagent harness engineering\u003C\/strong\u003E: context and memory management, state persistence and checkpointing, tool execution, retries and recovery, human approval flows, guardrails, tracing, and automated evaluation.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003EExperience with \u003Cstrong\u003ELLM fine-tuning, LoRA\/QLoRA, knowledge distillation, quantization, large-scale LLM serving with vLLM\/SGLang, RAG\/KG-RAG, or multi-agent systems\u003C\/strong\u003E, including reusable Agent Skills.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003EExperience with deployment and observability tools such as \u003Cstrong\u003EAzure DevOps, Argo CD, Harbor, Prometheus, Grafana, ELK Stack, and OpenTelemetry\u003C\/strong\u003E.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003EExperience deploying vision or robotics applications on edge devices, or transferring reinforcement learning solutions from simulation into operational environments.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003EExperience scaling AI applications across multiple physical sites.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u003Cstrong\u003EAnthropic Claude Certified Architect certification\u003C\/strong\u003E, at the Foundations or Professional level.\u003C\/li\u003E\u003Cli style=\"line-height: normal; margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; font-size: 12pt; font-family: Aptos, sans-serif;\"\u003E\u003Cstrong\u003EKaggle Master or Grandmaster\u003C\/strong\u003E recognition is also a plus.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp style=\"margin: 0.0in 0.0in 8.0pt; line-height: 115%; font-size: 12.0pt; font-family: Aptos, sans-serif;\"\u003E\u003Cstrong\u003EApplication Consideration Consent:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"margin: 0.0in 0.0in 8.0pt; line-height: 115%; font-size: 12.0pt; font-family: Aptos, sans-serif;\"\u003EBy 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.\u003C\/p\u003E\u003Cp style=\"margin: 0.0in 0.0in 8.0pt; line-height: 115%; font-size: 12.0pt; font-family: Aptos, sans-serif;\"\u003EAs 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:\u003C\/p\u003E\u003Cul style=\"margin-bottom: 0.0in; margin-top: 0.0px;\"\u003E\u003Cli style=\"margin: 0.0in 0.0in 8.0pt 48.0px; line-height: 115%; font-size: 12.0pt; font-family: Aptos, sans-serif;\"\u003EMedical, Dental, and Vision Plans: Choose the options that best fit your and your family\u2019s needs.\u003C\/li\u003E\u003Cli style=\"margin: 0.0in 0.0in 8.0pt 48.0px; line-height: 115%; font-size: 12.0pt; font-family: Aptos, sans-serif;\"\u003EIncome-Protection Programs: Financial assistance during injury or illness.\u003C\/li\u003E\u003Cli style=\"margin: 0.0in 0.0in 8.0pt 48.0px; line-height: 115%; font-size: 12.0pt; font-family: Aptos, sans-serif;\"\u003E401(k) Retirement Savings Plan: Secure your financial future with competitive employer contributions.\u003C\/li\u003E\u003Cli style=\"margin: 0.0in 0.0in 8.0pt 48.0px; line-height: 115%; font-size: 12.0pt; font-family: Aptos, sans-serif;\"\u003EPaid Time-Off Programs and Holidays: Recharge and spend quality time with loved ones.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp style=\"margin: 0.0in 0.0in 8.0pt 0.25in; line-height: 115%; font-size: 12.0pt; font-family: Aptos, sans-serif;\"\u003E\u00a0\u003C\/p\u003E\u003Cp style=\"margin: 0.0in 0.0in 8.0pt 0.25in; line-height: 115%; font-size: 12.0pt; font-family: Aptos, sans-serif;\"\u003ETSMC 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.\u003C\/p\u003E\u003Cp style=\"margin: 0.0in 0.0in 8.0pt 0.25in; line-height: 115%; font-size: 12.0pt; font-family: Aptos, sans-serif;\"\u003EWe 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 \u003Ca href=\"mailto:[email protected]\"\[email protected]\u003C\/a\u003E.\u003C\/p\u003E\u003Cp style=\"margin: 0.0in 0.0in 8.0pt; line-height: 115%; font-size: 12.0pt; font-family: Aptos, sans-serif;\"\u003E\u00a0\u003C\/p\u003E", "employmentType": [""], "hiringOrganization" : { "@type": "Organization", "name": "TSMC - Taiwan Semiconductor Manufacturing Company Limited", "url": "https://careers.tsmc.com/en_US/careers", "logo": "https://careers.tsmc.com/_cms/6/image/logoHiringOrganization/1?version=269513", "sameAs": "https:\/\/www.tsmc.com\/english" }, "identifier": { "value": 22870, "@type": "PropertyValue" }, "jobLocation" : { "@type": "Place", "address": { "streetAddress": "USA-Arizona", "@type": "PostalAddress" } }, "educationRequirements": "", "experienceRequirements": "", "workHours": "", "qualifications": "", "responsibilities": "", "skills": "", "title" : "AI Engineering Tech Lead" }

Company TSMC Arizona Corporation Location USA-Arizona Posted Sep 22, 2026

Company TSMC Arizona Corporation

Company

TSMC Arizona Corporation

Location USA-Arizona

Location

USA-Arizona

Posted Sep 22, 2026

Posted

Sep 22, 2026

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 it’s 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. Build AI that delivers real manufacturing impact—from Arizona to TSMC’s global fab network. TSMC Arizona is seeking a hands-on AI Engineering Tech Lead to lead the development and production deployment of AI solutions that improve manufacturing efficiency, quality, and engineering productivity. You will partner with fab domain experts to turn complex operational challenges into reliable, scalable applications. Your work may span computer vision, anomaly detection, predictive analytics, robotics, reinforcement learning, generative AI and agentic AI, selecting the right approach for each problem. Based in Arizona, you will own local delivery while contributing reusable solutions and engineering practices across TSMC’s global manufacturing footprint. Key ResponsibilitiesLead multiple AI projects from concept to production. Translate manufacturing needs into technical specifications, delivery plans, and measurable business outcomes.Stay hands-on. Design architectures, develop and review code, guide experimentation, troubleshoot failures, and resolve performance and reliability issues.Lead and mentor engineers. Set technical direction, manage dependencies, and establish engineering standards across concurrent application projects.Develop practical AI/ML solutions. Work with domain experts on data collection, labeling, model development, evaluation, and integration into engineering workflows and manufacturing systems.Own production operations. Establish MLOps/LLMOps practices covering reproducibility, versioning, CI/CD, deployment, monitoring, model drift, incident response, and rollback.Build trustworthy applications. Implement appropriate validation, access controls, traceability, and human oversight for systems supporting critical decisions and actions.Scale successful solutions. Collaborate with global teams to share reusable components and deployment practices, adapting solutions to site-specific requirements. Required QualificationsMaster’s degree in AI/ML, Computer Science, Industrial Engineering, Computer Engineering, Electrical Engineering, or a related technical discipline.5+ years of professional experience developing AI/ML applications, including substantial hands-on responsibility for production deployment and ongoing operations.Proven experience leading teams of at least 7 engineers, typically 7–10 or more, across multiple AI application projects.A demonstrated record of taking AI solutions beyond prototypes into sustained production use, with measurable improvements in quality, productivity, reliability, or cost.Strong applied expertise in one or more areas such as computer vision, anomaly detection, time-series modeling, predictive analytics, robotics, reinforcement learning, or generative AI, with the ability to guide work across adjacent domains.Strong Python and software engineering skills, including experience with PyTorch or comparable ML frameworks, data pipelines, APIs, automated testing, and performance optimization.Practical experience with containerization, Kubernetes, MLOps, and CI/CD, plus production monitoring and troubleshooting.Familiarity with Agile and Spec-Driven Development (SDD), including clear requirements, testable acceptance criteria, and disciplined release practices.Ability to communicate technical tradeoffs, prioritize competing needs, and collaborate effectively with domain experts and distributed engineering teams. Preferred QualificationsExperience in semiconductor manufacturing, industrial automation, or other demanding production environments.Hands-on experience with LangChain/LangGraph, supported by deep knowledge of agent harness engineering: context and memory management, state persistence and checkpointing, tool execution, retries and recovery, human approval flows, guardrails, tracing, and automated evaluation.Experience with LLM fine-tuning, LoRA/QLoRA, knowledge distillation, quantization, large-scale LLM serving with vLLM/SGLang, RAG/KG-RAG, or multi-agent systems, including reusable Agent Skills.Experience with deployment and observability tools such as Azure DevOps, Argo CD, Harbor, Prometheus, Grafana, ELK Stack, and OpenTelemetry.Experience deploying vision or robotics applications on edge devices, or transferring reinforcement learning solutions from simulation into operational environments.Experience scaling AI applications across multiple physical sites.Anthropic Claude Certified Architect certification, at the Foundations or Professional level.Kaggle Master or Grandmaster recognition is also a plus.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.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. 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 [email protected].

TSMC Arizona

Build AI that delivers real manufacturing impact—from Arizona to TSMC’s global fab network.

TSMC Arizona is seeking a hands-on AI Engineering Tech Lead to lead the development and production deployment of AI solutions that improve manufacturing efficiency, quality, and engineering productivity.

AI Engineering Tech Lead

You will partner with fab domain experts to turn complex operational challenges into reliable, scalable applications. Your work may span computer vision, anomaly detection, predictive analytics, robotics, reinforcement learning, generative AI and agentic AI, selecting the right approach for each problem.

computer vision, anomaly detection, predictive analytics, robotics, reinforcement learning, generative AI and agentic AI

Based in Arizona, you will own local delivery while contributing reusable solutions and engineering practices across TSMC’s global manufacturing footprint.

Key Responsibilities

Lead multiple AI projects from concept to production. Translate manufacturing needs into technical specifications, delivery plans, and measurable business outcomes.

Lead multiple AI projects from concept to production.

Stay hands-on. Design architectures, develop and review code, guide experimentation, troubleshoot failures, and resolve performance and reliability issues.

Stay hands-on.

Lead and mentor engineers. Set technical direction, manage dependencies, and establish engineering standards across concurrent application projects.

Lead and mentor engineers.

Develop practical AI/ML solutions. Work with domain experts on data collection, labeling, model development, evaluation, and integration into engineering workflows and manufacturing systems.

Develop practical AI/ML solutions.

Own production operations. Establish MLOps/LLMOps practices covering reproducibility, versioning, CI/CD, deployment, monitoring, model drift, incident response, and rollback.

Own production operations.

Build trustworthy applications. Implement appropriate validation, access controls, traceability, and human oversight for systems supporting critical decisions and actions.

Build trustworthy applications.

Scale successful solutions. Collaborate with global teams to share reusable components and deployment practices, adapting solutions to site-specific requirements.

Scale successful solutions.

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