Solutions Architect (Toronto)

About the Role

We are seeking a Solutions Architect to help customers successfully deploy, operate, and scale AI/ML workloads on our GPU Platform-as-a-Service (PaaS) offering. In this customer-facing role, you will work closely with platform engineering, MLOps, data science, and infrastructure teams to design and implement production-ready AI infrastructure solutions built on Kubernetes and GPU-accelerated environments. You will help customers onboard to the platform, optimize workload performance, automate infrastructure, and ensure reliable operations while serving as a trusted technical advisor throughout the customer lifecycle. Responsibilities

Partner with customer platform, MLOps, and data science teams to understand AI/ML workload requirements and translate them into scalable platform architectures. Design and deploy Kubernetes-based solutions for model training, fine-tuning, and inference workloads. Assist customers with onboarding and implementation of the GP...