Principal AI Infrastructure Architect (All Genders)
Core
Senior technical authority designing and deploying large-scale compute infrastructure for AI/ML systems, optimizing cost and performance for production workloads.
Role type
Principal AI Infrastructure Architect
Builds
Large-scale, cost-optimized compute and distributed training systems; reference architectures and automation tooling.
Domain
Cloud infrastructure, AI/ML systems, hyperscaler platforms
Deliverable
production ML models
Required skills
Cloud architecture, distributed training, GPU/compute optimization, Python, Java, C++, Kubernetes, Apache Airflow, Kubeflow, infrastructure-as-code, root-cause analysis, technical strategy, mentorship
Preferred skills
Hyperscaler expertise, emerging technology evaluation, enterprise security compliance
Technologies
Python, Java, C++, Apache Airflow, Kubeflow, Kubernetes, GPU accelerators, hyperscaler cloud platforms
Responsibilities
Set technical vision and strategy for AI/ML compute infrastructure; own complex architecture decisions across compute, networking, and storage; architect and prototype large-scale distributed training systems; define reference architectures and implement foundational automation; lead enterprise-scale design reviews and assessments; shape technology roadmaps and capacity planning; pilot emerging technologies; drive performance and cost optimization; troubleshoot complex stack issues; cultivate infrastructure partner relationships; provide executive technical advisory; define observability and reliability strategies; ensure security and compliance alignment; mentor senior and lead architects.
Seniority
Principal, hands-on IC with strategic leadership
