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
Cloud and on-premises compute resources, container orchestration, model serving, CI/CD pipelines, and data pipelines for AI workflows.
Domain
Cloud infrastructure, AI/ML systems, MLOps, InfraOps
Deliverable
production ML models
Required skills
Python, Java, C++, Kubernetes, Docker, Apache Airflow, Kubeflow, GPU cluster management, CI/CD, infrastructure-as-code, root-cause analysis, architectural design
Preferred skills
Hyperscaler platform experience, distributed training setup, model deployment frameworks
Technologies
Kubernetes, Docker, Apache Airflow, Kubeflow
Responsibilities
Write and debug code/scripts for AI infrastructure; Architect and provision compute resources (cloud/on-prem); Design and maintain CI/CD pipelines; Deploy AI systems and models; Lead container orchestration and model serving; Optimize computational stack for performance/cost/scalability; Integrate AI models into enterprise systems; Own AI monitoring and infrastructure health; Troubleshoot complex issues across the stack; Mentor junior engineers.
Seniority
Senior, hands-on IC with mentorship responsibilities
