AI Security Engineer - AI Red Team (Enterprise)

C-Serv•Las Vegas, NV

About The Position

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 role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems and translate technical risk into enterprise-aligned assurance. This role is designed to ensure AI risk findings are integrated into operational impact, rather than remaining stuck in slide decks.

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

Responsibilities

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