Jobs → Customer Support → AI Platform Architect

About the Role We are seeking an experienced Principal AI Platform Architect with expertise in GCP, GKE, TPU/GPU infrastructure, and AI/ML platform architecture. The candidate will be responsible for designing and implementing scalable, secure, and high-performance AI infrastructure for large-scale model training and production workloads. Key Responsibilities • Design and implement scalable, secure, and high-performance AI infrastructure • Lead hands-on experience in designing and implementing AI infrastructure for large-scale model training and production workloads • Collaborate with stakeholders to ensure technical requirements are met Requirements • 12+ years of overall IT experience • 5+ years of experience in GCP AI/ML Platform Architecture • Strong experience with Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE) • Hands-on experience with Cloud TPU and GPU infrastructure • Expertise in Kubernetes administration, cluster autoscaling, node pools, and workload scheduling • Experience with TensorFlow, PyTorch, JAX, and distributed model training • Strong knowledge of AI/ML platforms, MLOps, and production AI workloads • Experience with Terraform, Infrastructure as Code (IaC), CI/CD, and GitOps • Knowledge of Prometheus, Grafana, Cloud Monitoring, and Cloud Logging • Experience with GCP security, IAM, networking, and resource optimization • Strong architecture, technical leadership, and stakeholder management skills