Senior Staff Consulting Architect - Kubernetes/Ai

Job summary

Designs and implements scalable AI and Kubernetes infrastructure on hyperconverged infrastructure platforms, tailoring deployments to client requirements. The role advises on Kubernetes configuration, optimizes availability and resource efficiency for AI model execution, including LLM inference, and provides GPU acceleration guidance and client troubleshooting. It also develops deployment documentation and collaborates across teams, using technologies such as Terraform, Ansible, NVIDIA CUDA, Prometheus, and Grafana.

Qualifications

• At least five years designing and implementing infrastructure for data-intensive or AI and 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 monitoring tools.
• A bachelor’s degree in Computer Science, Information Technology, or a related field.
• Experience with hyperconverged infrastructure platforms is a plus.

Responsibilities

• Design and implement scalable AI and Kubernetes infrastructure on Nut*** HCI platforms.
• Advise clients on Kubernetes configuration for AI workloads.
• Align infrastructure capabilities with client AI initiatives in collaboration with cross-functional teams.
• Develop solution configuration, deployment, and knowledge-sharing documentation.
• Monitor and optimize infrastructure availability, performance, and resource efficiency for AI model execution.
• Guide GPU acceleration technology integration in AI workflows.
• Troubleshoot client issues and provide ongoing infrastructure support.

Skills

Degrees

Relocation