HPC AI Architect - 1 Year Contract

We are seeking an experienced HPC AI Architect to lead the design and architecture of large-scale High Performance Computing (HPC) and Artificial Intelligence (AI) infrastructure environments. The successful candidate will be responsible for designing end-to-end compute, GPU, storage, networking, and platform architectures that support advanced AI, machine learning, and high-performance workloads.Key ResponsibilitiesDesign end-to-end HPC and AI infrastructure architectures, including compute, GPU, CPU, storage, and management platforms.Define HPC storage architectures utilizing parallel file systems, scale-out NAS/NFS, and high-performance storage technologies.Perform infrastructure sizing and capacity planning based on workload requirements, performance objectives, and future growth.Design high-speed compute fabrics and interconnect architectures supporting distributed AI and HPC workloads.Evaluate architecture options and provide recommendations balancing performance, scalability, availability, and cost.Review and validate technical designs, vendor proposals, BOMs, and solution architectures.Collaborate with data center, network, cloud, infrastructure, AI, and operations teams to ensure architectural alignment.Produce architecture documentation, sizing models, design standards, and technical specifications.Support technology selection and vendor engagement activities for AI and HPC platforms.Required ExperienceMinimum 10 years of experience in HPC, High Performance Computing, AI Infrastructure, or Enterprise Infrastructure Architecture.Strong experience designing and deploying GPU clusters and large-scale compute environments.Proven expertise with NVIDIA GPU platforms such as DGX, HGX, H100, A100, B200, Blackwell, or equivalent technologies.Strong knowledge of HPC storage architecture, including:Parallel File Systems (Lustre, BeeGFS, IBM Spectrum Scale/GPFS)Scale-out NAS/NFSHigh-performance AI data storage platformsExperience with distributed computing frameworks and large-scale cluster environments.Strong understanding of high-speed networking and interconnect technologies including:InfiniBandRoCE100/200/400Gb EthernetExperience with Linux-based HPC environments and cluster management platforms.Experience evaluating and working with infrastructure vendors, OEMs, system integrators, and technology partners.Strong understanding of AI infrastructure requirements supporting Machine Learning, Generative AI, and LLM workloads.Preferred Technical SkillsRed Hat Enterprise LinuxKubernetesContainerized AI PlatformsSlurm Workload ManagerNVIDIA AI EnterpriseNVIDIA Base CommandOpenShiftAnsible AutomationData Center Infrastructure DesignEducation & CertificationsBachelor's Degree in Computer Engineering, Computer Science, Information Technology, or a related field.RHCE (Red Hat Certified Engineer)RHCSA (Red Hat Certified System Administrator)CKA (Certified Kubernetes Administrator)