AI Security Engineer

ASML AI Security Engineer
Enterprise & Scientific AI Platform Security, Azure & GCP
Location: Veldhoven
Start Date: Flexible
Duration: 6+ months
Hours per week: 40
Freelance (ZZP): Yes
Remote/Hybrid: Hybrid, 2 days on-site in Veldhoven
ROLE DESCRIPTION
ASML's AI Foundation is scaling Enterprise AI and Scientific AI workloads across Azure and GCP, and every one of these workloads must be provably secure before it reaches production. As AI Security Engineer you translate the ASML AI Security Framework, control by control, into working platform configuration and the machine-verifiable evidence that proves adherence to it. This is not a policy or advisory function: you build the Terraform modules, GitOps pipelines and policy-as-code gates that make compliance continuous rather than a point-in-time audit exercise. You operate across Kubernetes GPU node pools, network segmentation, identity and the hardened API layer that sits between models and their consumers, and you instrument the platform end to end so anomalies and drift surface automatically. You work daily alongside Senior AI Security auditors and a high-density team of AI Engineers, in an environment where implementations are expected to pass governance the first time. It is a role with real technical depth and direct influence on how ASML secures one of its most strategically important platforms.
RESPONSIBILITIES - Translate ASML AI Security Framework control descriptions into working platform configuration across Azure and GCP - Engineer machine-verifiable evidence pipelines that continuously attest control compliance - Build and maintain Terraform modules for secure Enterprise AI and Scientific AI infrastructure - Implement GitOps CI/CD security gates in Azure DevOps and GitHub Actions - Configure and harden AKS/GKE GPU node pools, including workload and session isolation - Design VNet/VPC segmentation and private endpoints for AI workloads - Implement RBAC/ABAC leas...