Senior Staff Consulting Architect - Kubernetes/Ai

Job summary

Design and implement scalable AI and Kubernetes infrastructure on hyperconverged infrastructure platforms, tailoring solutions to customer requirements. Advise clients on Kubernetes configuration, integrate GPU acceleration into AI workflows, optimize performance and availability, and provide documentation and troubleshooting support. The work includes AI model execution and LLM inference, using technologies such as Terraform, Ansible, NVIDIA CUDA, Prometheus, and Grafana.

Qualifications

• At least five years of experience designing and implementing infrastructure for data-intensive or AI/Kubernetes workloads.
• Strong expertise in Kubernetes container orchestration.
• Knowledge of AI model deployment lifecycles and resource requirements, including LLM inference.
• Proficiency with Infrastructure as Code tools such as Terraform or Ansible.
• Experience with GPU acceleration, such as NVIDIA CUDA, in containerized environments.
• Familiarity with Prometheus and Grafana.
• Experience with hyperconverged infrastructure platforms is an advantage.

Responsibilities

• Design and implement scalable AI and Kubernetes infrastructure tailored to customer requirements.
• Advise clients on Kubernetes configuration for AI workloads.
• Coordinate with cross-functional teams to align infrastructure with client initiatives.
• Document solution configurations, deployment guides, and knowledge-sharing resources.
• Monitor and optimize infrastructure performance, availability, and resource efficiency.
• Guide clients on GPU acceleration and its integration into AI workflows.
• Troubleshoot issues and provide ongoing infrastructure support.
• Improve client satisfaction and project outcomes through successful deployments.

Skills

Degrees

Relocation