Jobdescription Infra & Data Cybersecurity (AI) (SME) Our enterprise clients are deploying AI systems that operate on highly sensitive data, critical infrastructure, and business-critical decision flows. AI introduces new threat surfaces: data leakage, model poisoning, supply-chain attacks, inference abuse, and regulatory exposure. This role exists to secure AI environments end-to-end, from infrastructure and data to models and access layers, in enterprise and regulated contexts. _______________________________________________________ Mission You will operate as a Subject Matter Expert securing AI platforms and data environments where confidentiality, integrity, availability, and compliance are mandatory. Acting in consultative security engagements, embedded delivery models, or platform-based environments, you will design, implement, and govern security controls adapted to AI systems, not just traditional IT. Key Responsibilities AI & Data Security (Core) Secure data pipelines, training datasets, and inference data flows Design controls to prevent data leakage, exfiltration, and misuse Protect models against poisoning, tampering, and unauthorized usage Implement security patterns for model serving and API exposure Infrastructure & Platform Security Secure cloud, hybrid, and on-prem AI infrastructure Define and enforce network segmentation and isolation for AI workloads Implement secure secrets management and key handling Align infrastructure security with AI workload characteristics Identity, Access & Compliance Design IAM strategies for AI platforms (users, services, models) Enforce least-privilege and Zero Trust principles Support regulatory and compliance requirements (data protection, auditability) Collaborate with legal, risk, and compliance stakeholders Technical Scope Security Domains Data security and privacy engineering Infrastructure and cloud security Model and AI-specific threat mitigation Tooling & Engineering IAM systems and identity federation Encryption at rest and in transit Security monitoring, logging, and incident response Policy-as-code and automated controls Production Awareness Security-by-design for AI systems Continuous security monitoring and posture management Integration with DevSecOps and MLOps pipelines Profile Experience Strong background in cybersecurity, cloud security, or data security Experience securing complex, distributed systems Exposure to AI, ML, or data platforms in production environments Mindset Risk-aware but delivery-oriented Strong ownership of security outcomes Comfortable working across technical, legal, and business boundaries Pragmatic approach to balancing security and performance ___________________________________________________ This is not a traditional perimeter security role. This role is designed to secure enterprise AI systems by design, acting as the trust foundation for AI adoption in sensitive and regulated environments. You will position yourself as an AI Security SME, enabling secure AI platforms to scale by orders of magnitude, while protecting data, models, and infrastructure across Europe’s most advanced AI environments.