AI Infrastructure Consulting Engineer – Converged Compute & Storage

The AI Infrastructure Consulting Engineer – Converged Compute & Storage is responsible for designing, implementing, validating, and supporting high-performance infrastructure solutions that enable enterprise artificial intelligence and machine learning workloads. This client-facing, billable role provides high-quality deliverables and ensures solutions are implemented as designed to the client’s satisfaction and approval. The engineer gains a clear understanding of the client environment, identifies infrastructure requirements, and communicates solutions that align accelerated compute, storage, data movement, resiliency, and operational needs. What You Will Do ·Manage time and expense to meet or exceed expectations defined in the Statement of Work, proactively escalating potential scope, schedule, or budget issues as soon as they are known. · Implement and integrate accelerated compute and high-performance storage solutions for AI training, fine-tuning, inference, and data-intensive workloads. · Perform discovery, installation, configuration, migration, validation, benchmarking, troubleshooting, and knowledge transfer across diverse customer environments. · Collaborate with project managers, architects, sales teams, partners, and client stakeholders to manage expectations, dependencies, risks, and timelines. · Provide technical input for SOWs, ROMs, LOEs, implementation plans, and solution validation when requested. · Create and maintain accurate project documentation, as-built configurations, test plans, work logs, and client handoff materials. What We Expect of You · Bachelor’s degree and 3 years’ experience delivering complex infrastructure solutions, including planning, implementation, integration, and support OR 7 years experience delivering complex infrastructure solutions, including planning, implementation, integration, and support. · Demonstrated experience installing, configuring, upgrading, and troubleshooting enterprise compute and storage infrastructure. · Working knowledge of accelerated computing platforms, including NVIDIA DGX, HGX, or comparable GPU-based systems. · Understanding of AI workload characteristics, including data ingest, checkpointing, training, fine-tuning, inference, and model artifact management. · Experience with high-performance or scale-out storage architectures and protocols such as NFS, SMB, object storage, parallel file systems, and NVMe-based solutions. · Experience with Linux administration, firmware and driver dependencies, system validation, health checks, and performance troubleshooting. ·Ability to build and execute implementation and test plans aligned to assigned project deliverables and the Statement of Work. ·Strong written and verbal communication skills with the ability to effectively interact with leadership stakeholders and clients. · Proven ability to maintain technical documentation and transfer knowledge to clients. ·Demonstrated attention to detail, analytical problem solving, and the ability to balance competing priorities while meeting deadlines. · Ability and willingness to work beyond regularly scheduled shifts, select weekends, or overtime as necessary to meet operational needs. · Ability and willingness to travel as needed to CDW locations or client sites. · Valid U.S. driver’s license. · Experience with NVIDIA AI Enterprise infrastructure dependencies and validated architectures, is a plus. · Experience with high-performance data and virtualization platforms, is a plus. · Familiarity with GPUDirect Storage, RDMA, Kubernetes, Slurm, container runtimes, and AI platform orchestration, is a plus. · Preferred NVIDIA certifications aligned to the role include NVIDIA-Certified Professional AI Infrastructure (NCP-AII) and NVIDIA-Certified Associate AI Infrastructure and Operations (NCA-AIIO), is a plus. Pay range: $77,725 - $108,265 depending on experience and skill set Annual bonus target of %10 subject to