SeniorSolutionsArchitect-AI,HPC,&Lustre

## Accountabilities Lead advanced customer engagements focused on AI, machine learning, analytics, and high-performance computing (HPC) architecture design Assess customer environments to identify performance bottlenecks across GPU clusters, data pipelines, and storage infrastructures Design and present scalable architectures for AI training, distributed computing, and HPC workloads using parallel file systems such as Lustre Architect end-to-end storage solutions spanning on-prem environments and NeoCloud / AI hyperscaler GPU platforms, ensuring seamless high-performance data access Provide technical guidance on high-throughput storage systems, InfiniBand/RDMA networking, and GPU-integrated infrastructures Support proof-of-concepts, benchmarks, demos, and pilot environments to validate performance and scalability at scale Collaborate with sales and field teams to shape account strategies and drive pipeline growth in AI and HPC infrastructure opportunities Contribute to RFP/RFI responses and provide insights to influence future product and platform direction Requirements: 7+ years of experience in solutions architecture, pre-sales engineering, or customer-facing technical roles focused on AI, HPC, or high-performance data systems Hands-on experience with parallel file systems (Lustre strongly preferred) or HPC storage architectures such as BeeGFS or similar technologies Strong understanding of GPU-accelerated workloads and ecosystems (e.g., NVIDIA, CUDA, DGX, distributed training environments) Experience with AI/ML frameworks such as PyTorch, TensorFlow, or equivalent tools Deep knowledge of high-performance storage systems, data throughput optimization, and large-scale distributed computing architectures Familiarity with HPC networking technologies such as InfiniBand, RDMA, and high-speed Ethernet Ability to translate complex technical concepts into clear business value for enterprise stakeholders Strong collaboration, communication, and customer advisory skills acr