AI Infrastructure Consulting Engineer – Orchestration & Platform at CDW

Job description

Job Summary The AI Infrastructure Consulting Engineer – Orchestration & Platform Engineering is responsible for implementing, integrating, and supporting platforms that schedule, govern, and operate enterprise AI workloads. This client-facing, billable role delivers high-quality technical outcomes and ensures solutions are implemented as designed to the client’s satisfaction and approval. The engineer works across Kubernetes-based and workload-scheduling environments to enable reliable, secure, multi-user access to accelerated computing resources. 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 configure AI workload orchestration, scheduling, resource governance, and platform services across customer environments. ● Deploy and integrate Kubernetes, Run:ai, ClearML, Slurm, NVIDIA software components, container registries, observability, and supporting platform services as applicable to the engagement. ● Perform platform discovery, installation, configuration, validation, upgrades, troubleshooting, and client knowledge transfer. ● Collaborate with security, networking, compute, storage, application, and data teams to resolve cross-platform dependencies. ● 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 platform, infrastructure, or cloud-native solutions, including planning, implementation, integration, and support OR 7 years’ experience delivering complex platform, infrastructure, or cloud-native solutions, including planning, implementation, integration, and support. ● Hands-on experience administering Kubernetes or enterprise Kubernetes distributions in production or customer environments. ● Experience with containers, registries, Helm, operators, storage classes, ingress, identity integration, secrets, and role-based access control. ● Working knowledge of GPU scheduling, quotas, tenancy, resource allocation, job lifecycle, and utilization concepts in AI environments. ● Experience with one or more workload platforms such as Run:ai, ClearML, Slurm, NVIDIA Base Command, or comparable orchestration and scheduling technologies. ● Working knowledge of Linux, scripting, APIs, Git-based workflows, and infrastructure automation. ● 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 create technical documentation and transfer knowledge to administrators and platform users. ● 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 client needs. ● Ability and willingness to travel as needed to CDW locations or client sites. ● Valid U.S. driver’s license. ● Experience integrating Kubernetes with NVIDIA GPU Operator, Network Operator, device plugins, or NVIDIA AI Enterprise components, is a plus. ● Experience with platform observability, policy, security, identity, MLOps, CI/CD, and infrastructure-as-code tooling, is a plus. ● Familiarity with Kubeflow, MLflow, Argo, GitOps, Prometheus, Grafana, or comparable ecosystem tools, is a plus. ● Relevant Kubernetes, NVIDIA, Linux, or automation certifications, is a plus. Pay range: $77,725 - $108,265 depending on experience and skill set Annual bonus target of % subject to terms and conditions of plan Benefits overview: https://cdw.benefit-i