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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Infrastructure Consulting Engineer - Orchestration & Platform - **Company:** CDW - **Location:** Vernon Hills, IL, United States - **Experience:** Experienced - **Salary:** $77,725.0 - $108,265.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Continuous Integration, Linux, Role-Based Access Control, Prometheus, Systems Integration, AI Infrastructure, Scripting, Grafana, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Slurm, Machine Learning Operations - **Published:** October 28, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88722913/1 ## About the Role * 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., We're looking for people who bring curiosity, a learner's mindset, and a willingness to engage with ever-evolving technology and tools. We value adopting AI as a partner, openness to experimentation, and a shared interest in learning together on AI. Our goal is to create a culture where AI enhances-not replaces-human creativity and decision-making. You don't need to be an expert today; what matters is your readiness to explore, adapt, and grow with us as we integrate AI responsibly and effectively into our work. ## Description 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.