Rafay Solutions Architect - AI/ML Focus

Elevate your career as a Solutions Architect at Rafay, specializing in implementing AI/ML workloads on our GPU Platform-as-a-Service. You'll collaborate closely with engineers and data science teams to deliver cutting-edge solutions.

In this pivotal customer-facing role, you will have the chance to engage with platform engineering, MLOps, data science, and infrastructure teams to design scalable architectures based on Kubernetes and GPU environments. Your responsibilities will span from onboarding customers to optimizing workload performance and automating infrastructure using advanced technologies.

Key Responsibilities: • Partner with customer teams to understand AI/ML requirements • Design Kubernetes solutions for training and inference • Assist with GPU PaaS onboarding across environments • Configure network and security integrations with enterprise systems • Build automation assets using Terraform and CI/CD tools

Requirements: • 4+ years in Solutions Architecture or related fields • Hands-on experience with Kubernetes • Proficiency in Python or Go programming • Cloud experience with AWS, Azure, or GCP • Knowledge of Infrastructure as Code tools

Become a trusted advisor in AI/ML infrastructure by driving success at Rafay. #J-18808-Ljbffr