Senior AI Infrastructure Architect (GCP /Kubernetes /Vertex AI /NVIDIA)

We are looking for a Senior AI Infrastructure Architect to design and build cloud-native, GPU-enabled AI infrastructure and large-scale MLOps platforms for an innovative project in the security and urban intelligence sector.

• Design and implement GPU-enabled Kubernetes clusters for scalable AI workloads.
• Architect and optimize MLOps pipelines and container orchestration platforms.
• Configure and manage high-performance cloud environments using Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE).
• Support large-scale AI/ML model training, inference, and production deployment.
• Integrate NVIDIA acceleration technologies to improve AI model performance.
• Work with Vertex AI and other cloud-native AI/ML services.
• Define infrastructure architecture, technical standards, and deployment best practices.
• Collaborate closely with AI, Machine Learning, DevOps, and Engineering teams.

• Senior-level experience in AI Infrastructure, Cloud Architecture, or MLOps Platform Engineering.
• Deep expertise in Kubernetes, containerization, and cloud-native infrastructure.
• Strong hands-on experience with Google Cloud Platform (GCP), particularly Google Kubernetes Engine (GKE).
• Practical experience with Vertex AI.
• Proven experience designing, building, and operating large-scale MLOps platforms.
• Strong understanding of AI/ML model training, deployment, inference, and production operations.
• Deep knowledge of the NVIDIA AI ecosystem, including CUDA, TensorRT, Triton Inference Server, NVIDIA NIM.
• Experience designing GPU-enabled infrastructure for high-performance AI workloads.
• English level: B2 or higher.