AI Offensive Security Engineer focusing on adversarial machine learning and enterprise security. Leading red team engagements and ensuring AI security findings are integrated into governance frameworks.
Responsibilities
Design and lead adversarial testing of LLM and AI-driven systems
Conduct threat modelling across model, infrastructure and data layers
Execute and oversee testing for:
Prompt injection
Jailbreaking
Model exploitation
Data leakage / extraction
RAG system manipulation
Translate findings into structured, audit-ready documentation
Map vulnerabilities and remediation pathways to:
ISO 27001 controls
SOC 2 Trust Service Criteria
ISO 27701 privacy controls
ISO 27017 cloud security controls
Partner closely with engineering, security, and compliance functions
Present findings clearly to executive leadership
Requirements
Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines)
Strong Python proficiency
Production experience working with Enterprise AI products and platforms specifically in Red Team
Experience of working with a threat modelling team
Carrying out Pen test on new Enterprise AI products
Ability to map technical findings to control frameworks
Ability to produce clear, structured, audit-friendly documentation
Comfortable presenting technical risk to executive audiences
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