We’re seeking a future team member for the role of AI Security Architect to join our Cybersecurity team in London.
Responsibilities
- Define enterprise AI security architecture: develop reference architectures, guardrails, and standards for secure data pipelines, model training/inference, and AI-integrated applications across on-prem and cloud.
- Secure MLOps/ML platforms: architect identity, secrets management, network segmentation, and least-privilege access for feature stores, model registries, orchestration, and deployment pipelines.
- Data protection by design: establish controls for sensitive data ingestion, anonymization/pseudonymization, encryption (at rest/in transit), tokenization, and lineage across AI workflows.
- Adversarial ML defense: design controls and tests for model poisoning, evasion, model theft/exfiltration, prompt injection, jailbreaking, data leakage, and output manipulation.