NEO Cloud Solution Architect

We are looking for a Solution Architect to support enterprise customers using GPU cloud infrastructure for AI and inference workloads. This role will act as the key technical point of contact for international / English-speaking customers, helping them design, deploy, and optimize workloads on GPU cloud platforms.The ideal candidate should have a strong background in cloud infrastructure, GPU infrastructure, networking, Kubernetes, and AI infrastructure, with the ability to communicate clearly with both technical and business stakeholders.Key ResponsibilitiesAct as the technical point of contact for enterprise customers using GPU cloud / AI infrastructure services.Understand customer requirements around AI inference workloads and translate them into practical technical solutions.Design GPU cloud solutions covering GPU compute, networking, storage, deployment architecture, monitoring, and reliability.Support technical discussions, solution presentations, PoCs, customer onboarding, and troubleshooting.Work closely with engineering, product, and business teams to ensure customer requirements are delivered effectively.Help customers optimize inference performance, GPU utilization, network performance, cost efficiency, and deployment reliability.Provide customer feedback to internal teams to improve platform capabilities and service quality.Requirements5–10 years of experience in solution architecture, cloud infrastructure, AI infrastructure, GPU infrastructure, networking, DevOps / SRE, or related technical roles.Strong understanding of GPU infrastructure, AI inference workloads, model deployment, or LLM serving.Solid experience in networking, including cloud networking, data center networking, routing, load balancing, or high-performance network architecture.Experience with Kubernetes, Linux, containers, monitoring, and production system troubleshooting.Good customer-facing communication skills, especially with English-speaking enterprise customers.Able to explain complex technical topics clearly to both technical and business stakeholders.Singapore-based candidates are preferred.Preferred QualificationsExperience with GPU cloud, AI inference platforms, HPC, or large-scale compute infrastructure.Familiarity with NVIDIA GPUs, CUDA, vLLM, Triton, Kubernetes GPU scheduling, InfiniBand, RoCE, or similar technologies.Experience with IaaS, platform virtualization, private cloud, hybrid cloud, or cloud-native infrastructure.Storage infrastructure experience is a plus, but not the top priority.Prior experience supporting international or Western enterprise customers.Bilingual communication skills are a plus.