Senior Customer Solutions Engineer, Edge AI

Armada

HybridFull TimeInformation Technology
Posted Today

Job description

Responsibilities

  • Lead end-to-end deployment of Armada platforms including Atlas, Galleon, and Leviathan AI Factory
  • Own on-site and in-country deployments across Saudi Arabia and the broader ME region
  • Manage infrastructure bring-up, platform configuration, and production readiness validation
  • Serve as the primary technical point of contact for assigned customers post go-live
  • Build and drive Joint Success Plans (JSPs) to align deployment with customer business objectives
  • Identify expansion opportunities for additional deployments and GPUaaS capacity
  • Ensure customer environments remain stable, secure, and production-ready
  • Mentor junior engineers and contribute to deployment standards and runbooks

Requirements

  • 8+ years of experience in infrastructure, platform engineering, SRE, or technical account roles
  • Deep technical expertise in Linux, networking, Kubernetes, storage, and GPU-accelerated compute
  • Proven ability to own both hands-on delivery and long-term customer technical relationships
  • Strong troubleshooting skills in live production environments
  • Experience working with customers in regulated, high-stakes settings
  • Willingness to travel across Saudi Arabia and the broader ME region
  • Clear and confident communication skills for executive and engineering audiences

Preferred Qualifications

  • Experience with edge compute, modular data centers, or distributed infrastructure
  • Familiarity with AI workloads, GPU clusters, and high-performance computing
  • Exposure to sovereign or national-scale customer environments
  • Experience operating in UAE, Saudi Arabia, or across the ME region

About the Company

Armada is the hyperscaler for the edge, delivering modular AI infrastructure from first deployment to AI factory with speed, scale, and sovereignty. Backed by investors like Founders Fund and Microsoft, Armada builds the infrastructure layer for sovereign and edge AI for organizations ranging from energy to defense.

Skills & tools

KubernetesLinuxGPU

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 018+ years infrastructure/platform engineering experience
  2. 02Expertise in Linux, networking, Kubernetes, storage, and GPU
  3. 03Experience in regulated/high-stakes environments
  4. 04Willingness to travel in ME region
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