AI Platform Orchestration Engineer

CDW; United States; Remote; USD 78,000 - 108,000; Full time

Benefits offered by this job

Annual bonus

Benefits overview

Job summary

CDW is seeking an AI Infrastructure Consulting Engineer – Orchestration & Platform Engineering to implement, integrate, and support platforms that schedule and govern enterprise AI workloads. This client-facing role works across Kubernetes-based environments to enable secure, multi-user access to accelerated computing resources.

The engineer will manage SOWs, ROMs, LOEs, and implementation plans, collaborating with security, networking, compute, storage, and data teams.

Qualifications

• Bachelor’s degree or equivalent experience with 3+ years delivering complex platform/infrastructure solutions or 7+ years in similar roles.
• Hands-on experience administering Kubernetes in production/customer environments.
• Experience with containers, registries, Helm, operators, storage classes, ingress, identity integration, secrets, and RBAC.

Responsibilities

• Manage time and expenses per Statement of Work and escalate as needed.
• Implement and configure AI workload orchestration across customer environments.
• Deploy and integrate Kubernetes, Run:ai, ClearML, Slurm, NVIDIA components, registries, observability, and platform services.

Skills

Kubernetes administration

Linux scripting

CI/CD pipelines

Git workflows

Education

Bachelor’s degree OR 7 years experience

Tools

Run:ai

ClearML

Slurm

NVIDIA software

Job description

CDW is seeking an AI Infrastructure Consulting Engineer – Orchestration & Platform Engineering to implement, integrate, and support platforms that schedule and govern enterprise AI workloads. This client-facing role works across Kubernetes-based environments to enable secure, multi-user access to accelerated computing resources.

The engineer will manage SOWs, ROMs, LOEs, and implementation plans, collaborating with security, networking, compute, storage, and data teams.