Senior Application Security Researcher advancing AI - driven application security from prompt to production. Building detection systems and autonomous agentic penetration - testing capabilities.
About the role
- Principal AI Security Engineer leading adversarial testing in AI Red Team at enterprise scale. Focusing on governance, security architecture, and technical risk accountability.
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
- 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 findings to control frameworks
- Ability to produce clear, structured, audit-friendly documentation
- Comfortable presenting technical risk to executive audiences
- Strong written and verbal communication skills
Benefits
- Comprehensive Private Medical Coverage
- Support for Mental Health Expenses
- Life Insurance Options
- Attractive Compensation Package
Job title
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