Lead Enterprise AI Infrastructure Architect

TSMC - Taiwan Semiconductor Manufacturing Company Limited; Washington; On-site; USD 137,000 - 199,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) with match

Paid time off

Onsite facilities

Job summary

TSMC Washington, located in Vancouver, WA, is seeking an AI Infrastructure Engineer to define and build the enterprise AI infrastructure platform for thousands of engineers across global regions.

You will design scalable AI infrastructure enabling secure development, deployment, and operation of AI applications using both internal and external foundation models, collaborating with teams in North America and Taiwan to support model serving, inference, and governance.

Qualifications

• BS/MS/PhD in Computer Science or related field.
• 7+ years of software engineering experience.
• 3+ years leading architecture for distributed systems or cloud infrastructure.
• 2+ years hands-on experience designing enterprise AI platforms.
• 1+ years’ experience as a Principal Engineer, Staff Engineer, Distinguished Engineer, or Technical Lead.
• Strong technical communication skills for collaborating with global cross-functional teams.

Responsibilities

• Define AI Platform Architecture. Lead the architecture and technical strategy for enterprise AI infrastructure.
• Build Enterprise AI Infrastructure: Design highly scalable platforms supporting LLM serving, GPU scheduling, Model routing, Model lifecycle management, RAG infrastructure, Vector databases, AI orchestration.

Skills

Distributed systems

Cloud infrastructure

Kubernetes

Programming Go/Python/Java

Technical communication

SRE

Education

BS/MS/PhD in Computer Science

Tools

Kubeflow

Ray

MLflow

Triton Inference Server

NVIDIA GPU ecosystem

Kubernetes

Docker

ArgoCD

Job description

TSMC Washington, located in Vancouver, WA, is seeking an AI Infrastructure Engineer to define and build the enterprise AI infrastructure platform for thousands of engineers across global regions.

You will design scalable AI infrastructure enabling secure development, deployment, and operation of AI applications using both internal and external foundation models, collaborating with teams in North America and Taiwan to support model serving, inference, and governance.