AI Infrastructure Consulting Engineer – Orchestration & Platform

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 documenta