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 requirements
Design and implement Kubernetes solutions for AI workloads
Optimize GPU PaaS adoption and performance
Build automation assets for productive deployment
Provide technical consultation and troubleshooting supportRequirements:
7+ years in Solutions Architecture or related roles
Robust background with Kubernetes
Experience with programming languages such as Python or Go
Familiarity with major cloud providers
Proven ability to communicate effectively with clientsLead AI infrastructure initiatives at Rafay and make a lasting impact in the field.#J-18808-Ljbffr
📌 Lead Solutions Architect For Gpu Paas Toronto
🏢 Rafay
📍 Toronto
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