AISecurityStaffEngineer-AIRedTeam

### The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role candidates must have considerable production experience. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will design and execute structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. ### What You’ll Do * Design 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 This role ensures AI security findings integrated into enterprise governance frameworks. **Requirements** ### What We’re Looking For ### Core Technical Depth * 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 ### Enterprise Security & Governance Fluency * Experience working within ISO 27001 environments * Practical knowledge of SOC 2 Trust Service Criteria * Understanding of ISO 27701 privacy extensions * Familiarity with ISO 27017 cloud security controls * Ability to map technical fin