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Strong employer brand but niche LLM/cybersecurity skillset limits broad applicant pools.
Core DevOps and cybersecurity skills are transferable, but LLM and finance-specific controls increase domain specificity.
Director role requires specific LLM security, cloud, containerization and programming skills, enforcing strict technical filters.
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Lead cyber risk management activities focused on AI/LLM system security including adversarial testing and threat detection.
Collaborate with AI/ML engineers to integrate security into AI/LLM applications and manage cloud infrastructure deployments.
Engage with product leads to identify and implement improvements in technology security solutions.
Minimum 4 years of experience in cybersecurity technologies or operations such as red teaming, penetration testing, application security, or vulnerability management.
Proficiency in programming/scripting languages like Python, Java, C, C++, or Bash.
Knowledge of cloud platforms (AWS, Azure, Google Cloud), containerization (Docker, Kubernetes), and cloud security best practices.
Familiarity with LLM security challenges including prompt injection, evasion, and data leakage; understanding of MITRE ATLAS Framework and OWASP Top 10 for LLM Applications.
Experienced in AI threat modeling, attack mitigation, and misuse detection specifically in AI/LLM environments.
Demonstrates ability to bridge cybersecurity expertise with AI/ML development teams and manage cloud infrastructure effectively.
Strong understanding of threat actor tactics, cyber risk assessment, and proactive security testing methodologies.