AI Solution Architect

Responsibilities:

• Architect and deploy GPU clusters on-premises and in cloud environments using Ansible, Terraform, Kubernetes, and Slurm.
• Engage with customers through technical deep-dives and workshops, presenting solutions to stakeholders.
• Build and maintain Infrastructure as Code modules to automate provisioning, scaling, and monitoring of GPU resources.

Requirements:

• Proven experience deploying GPU clusters at scale, including multi-node, multi-GPU setups.
• Hands-on expertise with Ansible, Terraform, Kubernetes, and programming in Python or Go.
• Solid understanding of ML ecosystems, models, tooling, and production deployment patterns.

Additional Skills:

• Experience with high-availability inference infrastructure for production AI workloads.
• Familiarity with MLflow, PyTorch, TensorFlow, and CI/CD pipelines for ML.
• Knowledge of GitOps workflows, Docker, Helm charts, and Hugging Face transformers.