AI Infrastructure Architect
Core
Design and optimize AI/ML infrastructure, including GPU clusters and distributed training environments, to power real-world applications.
Role type
Senior hands-on Infrastructure Architect (AI/ML)
Builds
Production AI systems, models, data pipelines, and compute resources for enterprise clients.
Domain
Cloud computing, AI infrastructure, MLOps, and enterprise IT.
Deliverable
production ML models | infrastructure
Required skills
Python, Java, C++, Kubernetes, Docker, CI/CD, GPU cluster management, distributed training, data pipeline orchestration, root-cause analysis, architectural design, mentorship.
Preferred skills
Hyperscaler platform experience, AI/ML subject matter expertise, infrastructure-as-code.
Technologies
Kubernetes, Docker, Apache Airflow, Kubeflow, Python, Java, C++.
Responsibilities
Architect and provision compute resources (cloud/on-prem), design CI/CD pipelines, deploy AI systems to production, optimize computational stack for cost/performance, troubleshoot complex stack issues, mentor junior engineers.
Seniority
Senior, hands-on IC with mentorship responsibilities.