AI Factory Customer Engineer

3 days, 16 hours ago
Lead
Artificial Intelligence and Machine Learning
Armada

Armada

Armada is a full-stack edge infrastructure company that specializes in edge computing and AI solutions tailored for remote and rugged environments. Through its Armada Edge Platform (AEP), the company provides compute, storage, connectivity, and AI/ML capabilities. Armada operates in over 100 countries, addressing operational challenges with thousands of connected assets and active users. The company focuses on simplifying data management and AI deployment in disconnected settings, making it easier for industries to leverage technology. Armada's product lineup includes Atlas, a tool for monitoring IoT devices; Galleon, ruggedized modular data centers for AI inference; Bridge, a platform for managing GPUs; and a Marketplace for hardware and software for remote operations. Armada serves various sectors, including oil and gas, public sector, manufacturing, mining, logistics, and telecommunications, enhancing safety, productivity, and automation in challenging environments.

information technology & services
201-500
Founded 2022
$226M raised

Description

  • Lead, coach, and develop a globally distributed Customer Engineering team across North America, EMEA, APAC, and emerging markets.
  • Own the pre-sales technical lifecycle from discovery through validated, deployment-ready architectures.
  • Serve as the primary technical interface between customers and Armada’s Product, Engineering, and Deployment teams.
  • Define and enforce solution design standards, technical qualification frameworks, and review cadences for global customer engagements.
  • Guide technical discovery to capture mission goals, AI workload requirements, data sovereignty constraints, and connectivity realities.
  • Translate customer requirements into scalable architectures for AI inference, real-time analytics, and edge ML deployments.
  • Develop repeatable playbooks, reference architectures, and proof-of-value frameworks for global use.
  • Collaborate with Sales, Product, Engineering, and Deployment teams to accelerate revenue and align on roadmap and positioning.
  • Synthesize customer feedback and field insights to inform Armada’s AI product roadmap, hardware evolution, and platform strategy.
  • Build and maintain trusted-advisor relationships with technical, operational, and executive stakeholders.

Requirements

  • Bachelor’s degree in Computer Science, Electrical Engineering, Systems Engineering, or a related technical field.
  • 7+ years leading Customer Engineering or Solutions Architecture teams in pre-sales, with demonstrated global hiring and scaling experience.
  • 7–10+ years of hands-on pre-sales or solutions engineering experience in AI infrastructure, edge computing, datacenter, or distributed systems.
  • Deep expertise in GPU and AI accelerator infrastructure, including NVIDIA GPU architectures and AI inference frameworks such as TensorRT, ONNX, and vLLM.
  • Strong grounding in datacenter and edge infrastructure, including compute, storage, networking, and facility systems such as power and cooling.
  • Hands-on experience with Kubernetes, VMware, KVM, Hyper-V, and cloud service models including IaaS, PaaS, and hybrid environments.
  • Ability to engage and influence C-level technical and operational leaders across global enterprise and government customers.
  • Willingness to travel internationally, including to remote and operationally austere field sites.
  • Experience deploying or architecting AI solutions in oil & gas, defense & intelligence, utilities, telecommunications, or mining is preferred.
  • Hands-on exposure to modular, containerized, or mobile data center deployments, including skid-based and rapid-deploy form factors is preferred.
  • Familiarity with edge AI inference optimization, model quantization, and bandwidth-constrained deployment frameworks is preferred.
  • Background integrating OT/IT convergence, including sensors, IIoT devices, and SCADA systems, is preferred.
  • Experience with satellite and hybrid connectivity architectures such as Starlink, LEO, and VSAT is preferred.
  • International experience building Customer Engineering teams or managing engagements in EMEA, APAC, or Middle East markets is preferred.
  • Certifications in AI/ML, cloud infrastructure, or datacenter design such as NVIDIA DLI, AWS, Azure, GCP, CDCP, DCDC, or RCDD are preferred.

Benefits

  • Remote work location.
  • Opportunity to lead a globally distributed team at a high-growth company.
  • Work on cutting-edge AI infrastructure and edge computing deployments.
  • Opportunity to influence product roadmap and platform strategy through customer feedback.
  • Equal opportunity employer committed to fair hiring and advancement practices.

Interested in this position?

Apply directly on the company website

Apply Now

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