Implements and supports enterprise AI infrastructure platforms across client environments. Configures Kubernetes, workload schedulers, GPU resource governance, containers, observability, security, and related platform services. Performs discovery, deployment, integration, upgrades, troubleshooting, validation, documentation, and knowledge transfer. Collaborates with cross-functional technical teams, contributes to implementation plans and Statements of Work, manages project deliverables, and provides client-facing consulting support. Travel and occasional extended or weekend work may be required.
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-info.com/](https://cdw.benefit-info.com/) Salary ranges may be subject to geographic differentials
* CDW is committed to being an AI-fluent organization
* 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.Additionally, CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, our goal is to understand your experience, strengths, skills, and qualifications. As an AI forward company, we see AI not just as a tool, but as a catalyst for new ways of thinking, creating, and communicating. We encourage candidates to embrace an AI mindset, one that's curious, adaptive, and ready to explore what's possible. We welcome thoughtful use of AI to expand your perspective and elevate how you share your story, while ensuring your application remains rooted in your own background, judgment, and voice.
* About Us
* CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what's possible through technology. What makes CDW different isn't just what we do- it's how we do it. At CDW we act as one- building trust, speaking candidly, and working together to achieve more. We play to win- focusing on what matters most and delivering for our customers. And we think forward- staying curious, moving fast, and continuously learning. We believe meaningful work happens when people feel supported, heard, and empowered to contribute. That's why we think of ourselves as coworkers, not just employees- working together to solve complex challenges and deliver real impact for our customers and communities. As a full-stack, full-lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes. When you join CDW, you become part of a collaborative environment where your work matters, your growth is supported, and your contributions help shape what's next. Together, we deliver the full promise of what technology can do.
* Together, we Make Amazing Happen.
* CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.
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-info.com/](https://cdw.benefit-info.com/) Salary ranges may be subject to geographic differentials
* CDW is committed to being an AI-fluent organization
* 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.Additionally, CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, our goal is to understand your experience, strengths, skills, and qualifications. As an AI forward company, we see AI not just as a tool, but as a catalyst for new ways of thinking, creating, and communicating. We encourage candidates to embrace an AI mindset, one that's curious, adaptive, and ready to explore what's possible. We welcome thoughtful use of AI to expand your perspective and elevate how you share your story, while ensuring your application remains rooted in your own background, judgment, and voice.
* About Us
* CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what's possible through technology. What makes CDW different isn't just what we do- it's how we do it. At CDW we act as one- building trust, speaking candidly, and working together to achieve more. We play to win- focusing on what matters most and delivering for our customers. And we think forward- staying curious, moving fast, and continuously learning. We believe meaningful work happens when people feel supported, heard, and empowered to contribute. That's why we think of ourselves as coworkers, not just employees- working together to solve complex challenges and deliver real impact for our customers and communities. As a full-stack, full-lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes. When you join CDW, you become part of a collaborative environment where your work matters, your growth is supported, and your contributions help shape what's next. Together, we deliver the full promise of what technology can do.
* Together, we Make Amazing Happen.
* CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.
CDW Vernon Hills, Illinois, USA Office
200 N. Milwaukee Ave., Vernon Hills, IL, United States, 60061
CDW Chicago, Illinois, USA Office
625 W Adams St., Chicago, IL, United States, 60661
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