Become a Senior Solutions Architect at Rafay, specializing in deploying AI/ML workloads on GPU PaaS offerings. This role provides an chance to deeply engage with clients and optimize their AI infrastructure.In this leadership role, you will work alongside engineering and MLOps teams to develop scalable Kubernetes-based solutions. Your responsibilities will extend from onboarding clients to optimizing their usage of GPU resources, cementing your role as a strategic partner. You will contribute significantly to the architectural framework of the organization while mentoring less experienced colleagues.Key Responsibilities:Collaborate with stakeholders on AI workload requirementsDesign and implement Kubernetes solutions for AI workloadsOptimize GPU PaaS adoption and performanceBuild automation assets for efficient deploymentProvide technical consultation and troubleshooting supportRequirements:7+ years in Solutions Architecture or related rolesStrong background with KubernetesExperience with programming languages such as Python or GoFamiliarity with major cloud providersProven ability to communicate effectively with clientsLead AI infrastructure initiatives at Rafay and make a lasting impact in the field.

📌 Lead Solutions Architect For Gpu Paas (Toronto)
🏢 Rafay
📍 Toronto