Description
Join Rafay as an AI Solutions Architect to advance customer success through cutting-edge GPU platform deployments. Drive efficiencies by optimizing AI/ML workloads in cloud and hybrid environments.<br/><br/>In this customer-facing role, you will be responsible for designing and implementing production-ready AI architectures using Kubernetes. Your expertise will be pivotal in collaborating with engineering teams and ensuring effective deployment and support of customer solutions across various environments.<br/><br/>Key Responsibilities:
• Collaborate with customers to analyze AI/ML workload requirements
• Design, deploy, and optimize Kubernetes solutions
• Assist in platform implementation across cloud and hybrid setups
• Configure security and observability for robust infrastructure
• Build automation assets using Terraform and CI/CD<br/><br/>Requirements:
• Minimum 4 years in Solutions Architecture or similar
• Proven expertise in Kubernetes deployment in production
• Proficiency in programming languages like Python or Go
• Experience with AWS or Azure cloud platforms
• Knowledge of Infrastructure as Code and monitoring tools<br/><br/>Shape the future of AI/ML infrastructure at Rafay with your innovative solutions.
