AI Security Architect leading adversarial testing for enterprise AI products, integrating security findings into governance frameworks. Collaborating with engineering and compliance functions in a hybrid work environment.
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
Ensure AI security findings integrated into enterprise governance frameworks.
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
Systems thinker
Curious and adversarial in mindset
Comfortable identifying uncomfortable truths
Autonomous and fast-moving
Enterprise-aware, not just technically strong
Able to operate independently under executive leadership
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