AI Engineering Lead

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world's largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade.

We are seeking a hands-on Engineering Manager / AI Architect to lead and grow our Agentic AI development practice. This is a builder-first role: you will spend the majority of your time architecting and coding production AI agent systems while providing technical leadership, mentorship, and light team management to a small, high-impact engineering team.

You will be at the forefront of designing and deploying multi-agent systems that reason, plan, use tools, and execute complex workflows autonomously. You bring deep expertise in LLM-based application development, a strong engineering foundation, and the interpersonal skills to align cross-functional stakeholders around a coherent AI architecture vision.

Job Responsibilities:

1. Design and implement end-to-end agentic AI systems, including multi-agent orchestration, tool use, memory management, and reasoning pipelines for production-grade LLM applications.

2. Evaluate emerging agent frameworks and tools; make informed technology selection decisions with documented trade-offs.

3. Prototype novel agent capabilities quickly and iterate from proof-of-concept to production-ready implementations.

4. Define and enforce observability best practices: tracing, logging, and evaluation frameworks for agent behavior monitoring in production.

5. Partner with business users and project managers to translate business requirements into scalable AI agent architectures.

6. Lead and mentor a team of 3-8 AI/ML engineers; conduct code reviews, provide architectural guidance, and foster a culture of engineering excellence.

Job Qualifications:

Required:

1. 7+ years of hands-on software engineering experience, with at least 2 years focused on LLM application development or AI systems engineering.

2. Production experience building AI agents or multi-agent systems using agent frameworks and evaluating LLM.

3. Hands-on experience with RAG architectures, vector databases, embedding strategies, MCP tools and agentic AI systems.

4. Strong Python engineering skills; comfortable owning and shipping backend services, APIs, and pipelines from design to production.

5. Strong system design instincts: ability to reason about latency, reliability, cost, and scalability trade-offs for LLM-powered applications.

6. Clear communicator: can explain complex AI architectures to both engineers and business stakeholders.

Preferred:

1. People management experience: prior experience leading or mentoring a team of engineers (even informally as a tech lead).

2. Experience with fine-tuning or RLHF workflows for domain-specific LLM adaptation.

Fostering a global inclusive workplace reflects TSMC's core values and business philosophy and is essential for our future success. Our commitment to global inclusive workplace allows us to create an environment where every employee, regardless of gender, age, disability, religion, race, ethnicity, nationality, political affiliation, or sexual orientation, can bring their unique perspective and experiences to work, enabling us to drive profitability, increase productivity, and unleash innovation. We strive to create a workplace that is equitable and accessible to all employees. We are committed to fostering an inclusive culture where every employee feels valued and empowered to contribute to our mission and provide excellent service to our global customers.