This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are seeking an experienced and highly skilled AI Security hands-on, highly technical architect responsible for defining security architecture and implementing robust security controls for our AI/ML systems and their underlying platforms and will serve as the team's technical mentor and architecture authority, driving secure-by-design patterns across the AI/ML lifecycle (data, training, evaluation, deployment, and production monitoring) and proactively mitigating AI-specific threats such as model integrity risks, data poisoning, adversarial attacks, prompt injection, model extraction, and inference-time abuse. Lead technically, set standards, and guide engineers day-to-day through architecture, reviews, and delivery.
Job Responsibility
Define and maintain AI security reference architectures for multiple AI deployment patterns
Establish and evolve security requirements, patterns, and guardrails across the AI/ML SDLC
Own AI security architecture decisions across critical domains
Design and deploy controls to ensure model integrity and governance
Build/enable technical mechanisms for provenance, attestation, signing, and approval workflows
Drive implementation of runtime protections for AI services
Conduct and lead AI/ML-specific threat modeling
Define and run security design reviews for AI initiatives
Establish AI security testing approaches
Design and deliver AI security tooling
Define logging/monitoring standards and detection use-cases
Act as the team's technical mentor
Lead by influence across Data Science, Engineering, Product, Platform, and Cybersecurity
Create internal enablement materials
Requirements
10+ years experience
7+ years in cybersecurity architecture with proven experience securing large-scale LLM deployments and multi-agent workflows
5+ years of hands-on capability with agent frameworks (e.g., LangChain, LangGraph, AutoGen) and MLOps platforms
3 to 5 years of deep familiarity with model risk management principles and AI security standards