Key skills

AI/ML SecurityLarge Language Models (LLM)RAG ArchitectureLangChainLlamaIndexCrewAIAdversarial Machine LearningPrompt InjectionData PoisoningModel InversionEvasion AttacksService Account HygieneSecrets RotationOAuthOIDCSecurity MonitoringBehavioral BaselinesOutput Anomaly DetectionAudit LoggingPythonLLM SDKsAgent FrameworksCI/CD Pipeline IntegrationNIST AI RMFISO/IEC 42001EU AI ActRed TeamingPenetration TestingSecurity Tooling DevelopmentAIMLLLMRAGCI/CD

About this role

World Wide Technology is a leader in technology services, and they are seeking an AI Security Engineer. The role focuses on enhancing security measures within AI/ML systems, requiring extensive experience in software engineering and AI security practices.

Requirements:

10+ years of software engineering experience, with at least 2-3 years focused in the AI/ML security sub-domain, and at least 1 year using modern LLM systems daily
Hands-on experience with LLM application architecture: RAG, tool use, agent orchestration frameworks (LangChain, LlamaIndex, CrewAI, or similar)
Practical experience with adversarial ML techniques: prompt injection, data poisoning, model inversion, evasion attacks
NHI security implementation: service account hygiene, secrets rotation, OAuth/OIDC for machine-to-machine authentication
Security monitoring for AI in production: behavioral baselines, output anomaly detection, audit logging
Strong coding ability — Python required; comfortable with LLM SDKs, agent frameworks, and CI/CD pipeline integration
Familiarity with AI governance frameworks: NIST AI RMF, ISO/IEC 42001, emerging EU AI Act controls
red team or penetration testing background applied specifically to AI systems
experience building reusable security tooling or accelerators packaged for delivery across multiple clients