Senior Customer Solutions Engineer, AI Factory, ANZ
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About the Role
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. Named one of Fast Company's Most Innovative Companies and to the CNBC Disruptor 50, Armada’s solutions are deployed in over 60 countries globally for organizations ranging from energy to defense.
With nearly $500 million in funding to date, Armada is backed by leading investors including Founders Fund, Lux, BlackRock and Microsoft (M12), alongside strategic partnerships with Microsoft, Dell, Palantir, NVIDIA, SpaceX, and Skydio. We are building the infrastructure layer for sovereign and edge AI - rugged, deployable compute for customers that cannot rely on centralized cloud.
Working at Armada means taking ownership, driving autonomy, and delivering impact. You’ll tackle challenges that haven’t been solved before and help build something transformative from the ground up. What you do here will not only define your career but help further Armada’s mission to bridge the digital divide for customers around the world.
About Armada
Armada delivers sovereign, industrial-grade AI infrastructure designed to operate where traditional cloud and centralized data center models fall short. Our platform includes Atlas as the control plane, Galleon rugged, containerized and modular edge data centers powered by the Armada Edge Platform, and Leviathan, Armada’s AI Factory, and Bridge, our GPU-as-a-Service offering. Together, these capabilities enable enterprises and governments to deploy, operate, and scale AI and other HPC workloads securely and efficiently across highly regulated and mission-critical environments.
ANZ is a core growth region for Armada, spanning large enterprises, public sector customers, and infrastructure-heavy industries. Leviathan is Armada’s purpose-built AI Factory. A high-density GPU compute platform designed for neocloud operators, sovereign AI programs, and enterprises building or expanding large-scale AI infrastructure capacity. Customers in this space require a senior technical partner who understands the economics, operations, and architecture of GPU-dense environments and can drive successful long-term outcomes at scale.
Role Overview
The Senior Customer Solutions Engineer, AI Infrastructure for ANZ is a senior technical role responsible for driving successful deployment and long-term adoption of Armada’s Leviathan AI Factory platform. This role is built for operators who understand GPU infrastructure at in depth, from physical deployment and power and cooling constraints to AI workload offtake, colocation agreements, and sovereign AI program requirements.
This role serves customers in neocloud operations, hyperscale AI infrastructure, colocation, and sovereign AI environments. Segments where GPU availability, infrastructure density, operational reliability, and commercial offtake structures are the defining decision factors. The Senior CSE owns the full technical relationship: from initial solution design and facility readiness through cluster commissioning, workload onboarding, and ongoing capacity expansion.
This role reports into the VP Global Customer Success & Delivery. Success is measured by Leviathan deployment velocity, GPU cluster utilization, capacity expansion, and the depth of technical partnership with AI infrastructure operators across ANZ.
Key Responsibilities
Leviathan AI Factory deployment and commissioning
- Lead end-to-end AI workload activation on Armada's Leviathan AI Factory platform, driving GPU cluster onboarding, workload configuration, and production readiness from initial capacity commitment through sustained offtake utilization
- Own infrastructure commissioning across GPU compute, high-speed networking (InfiniBand, RoCE), NVMe storage, and out-of-band management layers
- Make real-time technical decisions across hardware, firmware, networking, and orchestration layers during deployment and early operations
- Partner with customers and facility operators to validate power, cooling, and physical infrastructure requirements ahead of Leviathan deployments
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