AI Infrastructure Architect (All Genders)
Core
Design and optimize AI/ML infrastructure, including GPU clusters and distributed training environments, to power real-world applications.
Role type
Senior hands-on AI Infrastructure Architect
Builds
Scalable AI systems, models, and data pipelines for enterprise clients
Domain
Cloud computing, AI/ML infrastructure, MLOps
Deliverable
production ML models
Required skills
Python, Java, C++, container orchestration, CI/CD pipelines, GPU cluster management, data pipeline tools (Apache Airflow, Kubeflow), AI monitoring, infrastructure-as-code
Preferred skills
Hyperscaler platform experience, distributed training setup, model serving frameworks
Technologies
Docker, Kubernetes, Apache Airflow, Kubeflow
Responsibilities
Architect and provision compute resources across cloud and on-premises; design and maintain CI/CD pipelines; deploy AI systems and models into production; optimize computational stack for performance and cost; 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