Senior Customer Solutions Engineer, AI Factory (ANZ)
Armada · Sydney, Australia ·
- Work mode
- Hybrid
- Seniority
- Senior
- Category
- Solutions engineering
- Experience
- 8+ years
Armada · Sydney, Australia ·
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.
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.
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.
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
Conduct facility readiness assessments and pre-deployment site surveys to surface risk and ensure frictionless cluster commissioning
Technical account ownership and customer success
Serve as the primary technical point of contact for assigned AI infrastructure accounts post go-live
Own the technical success plan, GPU utilization milestones, and operational maturity roadmap for each customer
Build trusted, long-term relationships with infrastructure operators, ML platform engineers, procurement leads, and executive stakeholders
Lead technical governance discussions, capacity planning reviews, and platform optimization conversations; collaborate with AEs to deliver QBRs
Act as the primary technical escalation contact during incidents or performance issues
Joint Success Plan ownership
Build, maintain, and actively drive Joint Success Plans (JSPs) for each assigned customer
Align deployment milestones, GPU utilization targets, and capacity expansion to customer business objectives and offtake commitments
Use the Joint Success Plan as the primary framework for prioritization, execution, risk management, and value tracking
Regularly review progress against success plans with customer stakeholders and Armada leadership
Ensure JSPs inform deployment sequencing, cluster expansion strategy, roadmap discussions, and commercial offtake planning
Surface risks, dependencies, and blockers early and drive resolution with clear ownership
Capacity expansion and AI infrastructure offtake
Accelerate time-to-value by driving rapid GPU cluster commissioning and workload onboarding, from initial bring-up through sustained production utilization
Drive Leviathan capacity expansion across additional clusters, racks, and facilities as customer AI workload demand grows
Identify and pursue expansion opportunities including additional Leviathan deployments, Bridge GPUaaS offtake, and Atlas-managed multi-site configurations
Collaborate with customers on AI infrastructure offtake planning, helping translate training, inference, and HPC workload requirements into infrastructure capacity decisions
Operational excellence and reliability
Ensure customer GPU environments remain stable, performant, and production-ready at scale
Proactively identify scaling risks, thermal constraints, networking bottlenecks, and GPU utilization gaps
Coordinate with Product, Engineering, and Support teams to resolve issues efficiently and feed learnings back into platform development
Data residency, security, and regulatory execution
Operate confidently within ANZ data residency, sovereignty, and security requirements relevant to AI infrastructure deployments
Support customer security reviews, audits, and governance processes in regulated and sovereign AI environments
Balance global delivery standards with regional regulatory requirements, including export controls and data localization obligations
Maintain disciplined access control, documentation, and operational hygiene across customer environments
Field leadership and mentorship
Act as a senior technical presence for ANZ AI infrastructure accounts, setting the bar for deployment quality and customer engagement
Mentor (junior) CSEs, and delivery engineers as the region and Leviathan customer base scales
Contribute to deployment standards, commissioning runbooks, and repeatable best practices for GPU cluster environments
Cross-functional collaboration
Partner closely with the VP, Global Customer Success & Delivery on priorities and escalations
Work with Sales on capacity expansion and offtake planning while maintaining a trusted post-sale technical posture
Provide structured feedback to Product and Engineering teams based on real customer GPU infrastructure deployments and operational patterns
8+ years of experience in data center operations, GPU infrastructure engineering, solutions engineering, or technical customer-facing roles in AI or HPC infrastructure
Hands-on experience deploying and operating GPU clusters at scale, including familiarity with NVIDIA GPU architectures, InfiniBand or RoCE networking, NVMe-oF storage, and BMC/out-of-band management
Background in neocloud operations, AI factory deployment, or hyperscale data center environments, with understanding of the commercial and operational dynamics of large-scale GPU infrastructure
Experience with AI infrastructure offtake models, including GPUaaS, reserved capacity, and co-location or build-to-suit arrangements
Demonstrated ability to own the full customer technical lifecycle — from solution scoping and cluster commissioning through capacity expansion and long-term account ownership
Willingness to travel across ANZ as required for deployments, site surveys, and customer engagements
Clear, confident communication style suited for both hands-on infrastructure engineers and C-suite stakeholders in AI infrastructure organizations
Direct experience with neocloud or AI factory build-outs, including multi-tenant GPU infrastructure, shared fabric networking, and facility power and cooling design for high-density compute
Familiarity with sovereign AI programs, government AI infrastructure mandates, or regulated AI compute environments requiring data localization and export compliance
Experience in colocation or hyperscale infrastructure contexts, including cage/suite design, interconnect provisioning, and power capacity planning
Knowledge of AI/ML training and inference infrastructure patterns, including large model parallelism, distributed training frameworks (PyTorch, JAX), and inference serving platforms
Solutions architecture or pre-sales engineering background, with ability to translate AI workload requirements and offtake commitments into infrastructure deployment and capacity plans
Comfort operating with ambiguity and owning outcomes end to end in a fast-moving, high-growth environment
Leviathan AI Factory clusters are commissioned rapidly and reach target GPU utilization benchmarks on schedule
AI infrastructure customers, neoclouds, sovereign AI programs, and hyperscalers, operate with high confidence in Armada’s platform reliability and the Senior CSE’s technical ownership
Capacity expands across clusters, facilities, and offtake agreements without handoff friction or account fragmentation
Customers in neocloud, colocation, and sovereign AI environments view Armada as the strategic GPU infrastructure partner for their most demanding compute requirements
Adoption grows across Leviathan deployments, Bridge GPUaaS offtake, and Atlas-managed multi-site configurations driven by the Senior CSE’s deep technical engagement
Customers view Armada as a long-term infrastructure partner via consistency of technical ownership delivered at every stage of the relationship
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Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.