AI Factory Customer Engineer 

Armada is a full-stack edge infrastructure company delivering compute, connectivity, and sovereign AI/ML to some of the world’s most remote places. The AI Factory Customer Engineer plays a pivotal role in bridging the gap between customers and Armada’s Product and Engineering teams, ensuring customer requirements are accurately represented in solution design and driving adoption of Armada’s AI Factory offerings.

Responsibilities:

• Act as the primary technical interface between customers and Armada’s Product and Engineering teams, translating real‑world requirements into actionable technical inputs
• Bring a high‑ownership, self‑starting mindset with the energy and curiosity to fill gaps, solve problems, and drive outcomes end‑to‑end
• Provide expert technical guidance on Armada’s AI Factory products, including Modular Data Centers (MDCs), liquid‑cooled data center designs, and GPU‑based systems from partners such as NVIDIA
• Understand customer workloads deeply—both current and future—and advise on rack‑level design, system architecture, and deployment tradeoffs
• Lead technical demonstrations, proof‑of‑concepts, and workshops, tailoring content to customer constraints and operational realities
• Collaborate cross‑functionally with Sales, Product, and Engineering to support customer engagements, technical scoping, and solution design
• Cultivate trusted‑advisor relationships with customer engineering, infrastructure, IT, OT, and security stakeholders
• Stay current on industry trends related to AI infrastructure, data center design, liquid cooling, and modular systems, and share insights internally to shape future product strategy
• Enable field and sales teams by simplifying complex technical concepts into clear, customer‑relevant narratives
• Bring positive energy, curiosity, and a collaborative mindset to every engagement—this role values technical excellence and having fun while building something meaningful

Requirements:

• Bachelor's degree in Engineering, Computer Science, or a related field (or equivalent hands‑on engineering experience)
• Advanced engineering degrees are a plus
• 5+ years of relevant experience in data center engineering, infrastructure engineering, pre‑sales, sales engineering, or solution architecture roles
• Years of experience are less important than depth and relevance to data center and infrastructure topics
• Strong understanding of compute, networking, and storage fundamentals, including AI and GPU‑based systems (e.g., NVIDIA DGX, HGX, MGX, or similar)
• Hands‑on experience with data center systems, including: Mechanical, electrical, and plumbing systems, Cooling architectures, with direct experience or strong familiarity with liquid‑cooled data centers and/or modular data centers (MDCs), Racking and rack‑level design considerations
• Engineering mindset with curiosity about what lives inside the rack, including openness to evolving beyond current reference designs (e.g., B300 / GB300) as architectures evolve
• Familiarity with cloud platforms, containerization, virtualization, and modern enterprise infrastructure
• Strong troubleshooting skills and comfort operating in complex, live customer environments
• Excellent communication skills, with the ability to engage both highly technical engineers and non‑technical stakeholders
• Willingness to travel as required
• Expertise in modular or micro data center design and deployment
• Experience integrating compute, storage, and networking in space‑, power‑, and thermally‑constrained environments
• Knowledge of liquid cooling architectures, rack‑level thermal management, and power density considerations
• Ability to translate customer workload requirements into scalable, production‑ready infrastructure designs
• Experience supporting customers in regulated or mission-critical environments
• Background in Data Centers, MSPs, Telcos, Utilities, Oil & Gas, or industrial infrastructure
• Experience working with physical infrastructure products, including logistics and deployment constraints
• Familiarity with structured sales methodologies (MEDDPICC, Challenger, Command of the Message)