Solutions Architect - AI/ML Infrastructure , Kubernetes, Platform Architect (Remote)

Summary: The Solutions Architect role focuses on building scalable AI infrastructure and assisting enterprise customers in deploying and optimizing AI/ML workloads on a GPU Platform-as-a-Service. The position requires expertise in Kubernetes and cloud environments, along with a strong background in automation and performance optimization. The role is remote, allowing for collaboration with various technical teams to deliver effective solutions. Candidates should have a minimum of 4 years of relevant experience in Solutions Architecture or related fields.

Key Responsibilities:

• Design and deploy Kubernetes-based AI/ML infrastructure for training, fine-tuning, and inference
• Help customers onboard and scale GPU-powered workloads across cloud and hybrid environments
• Build automation using Terraform, Helm, GitOps, and CI/CD pipelines
• Optimize GPU utilization, platform performance, observability, and cost efficiency
• Partner with Platform Engineering, MLOps, Data Science, and Infrastructure teams to deliver production-ready solutions
• Act as a trusted technical advisor throughout the customer lifecycle

Key Skills:

• 4+ years of experience in Solutions Architecture, DevOps, Platform Engineering, SRE, or Cloud Engineering
• Strong hands-on Kubernetes experience in production environments
• Experience with AWS, Azure, or Google Cloud Platform
• Proficiency with Python or Go
• Knowledge of Terraform, Helm, GitOps, CI/CD, and observability tools (Prometheus, Grafana, OpenTelemetry)
• Understanding of AI/ML infrastructure, GPU workloads, and Kubernetes-based platforms
• Bonus Skills: Experience with PyTorch or TensorFlow, MLOps or AI infrastructure platforms, GPU scheduling, autoscaling, and workload optimization, Enterprise cloud-native environments

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT