AI Platform Engineer

As an AI Platform Engineer, you’ll work on the technical foundation for serious AI applications. You won’t be working on a single model, use case, or internal product. Instead, you’ll build diverse AI environments across multiple sectors, each with unique requirements for security, compliance, scalability, and governance. You’ll ensure that AI doesn’t remain stuck at the idea stage but is implemented in environments ready for real-world use.

You design, build, and manage infrastructure for AI and machine learning workloads. You work on Kubernetes-based environments for training, deployment, runtime, and operations. In doing so, you use tools such as Kubeflow, MLflow, and ClearML, and work with platforms such as OpenShift AI, SUSE AI, and VMware Private AI Services.

You’ll work for clients in sectors including government, healthcare, telecom, transportation, and financial services. Sometimes you’ll build a new AI environment from the ground up. Sometimes you’ll improve an existing landscape. Sometimes you’ll ensure that AI tools can be used safely and in a controlled manner within the boundaries of a complex organization. The core remains the same: you make AI workable in production.

You’ll join a growing team where AI is truly a strategic focus. You’ll work on concrete AI projects across multiple sectors and have ample opportunity to develop your expertise.

You can count on a robust onboarding program, challenging projects, access to the AI Lab, a Claude subscription, opportunities for certification and professional development, a competitive salary, excellent benefits, and a hybrid work model based on ITQ.