Senior Cybersecurity Specialist - AI/LLM/GenAI Focus

Senior Cybersecurity Specialist - AI/LLM/GenAI FocusJob Openings Senior Cybersecurity Specialist - AI/LLM/GenAI FocusAbout the job Senior Cybersecurity Specialist - AI/LLM/GenAI FocusJob SummaryA Senior Cybersecurity Specialist with AI expertise who will lead efforts to secure generative AI systems, implement LLM security frameworks, and develop strategies to protect against emerging AI-specific threats while ensuring regulatory compliance. This strategic role will directly impact the organization's ability to safely harness AI technologies while maintaining trust and data integrity, particularly in the implementation of our upcoming enterprise-wide LLM integration initiative.Key ResponsibilitiesConduct comprehensive security assessments for AI/LLM implementations, identifying vulnerabilities in prompt engineering, model architecture, and deployment pipelinesDevelop and implement security controls specific to generative AI systems, including prompt injection defenses and data poisoning preventionLead red team exercises to test the resilience of AI systems against adversarial attacksCollaborate with AI engineers to implement privacy-preserving techniques in model training and inferenceMonitor and respond to emerging AI security threats including model inversion attacks, training data extraction, and inference manipulationEnsure compliance with AI-specific regulations (GDPR, NIST AI RMF, EU AI Act) and ethical guidelinesEstablish and maintain AI security governance frameworks and policies Protection of your proprietary codebases, models, and training data as a key responsibility (e.g. source code governance, secure model storage, AI-assisted coding tools and managing open-source dependency risks)Required Qualifications7+ years of experience in cybersecurity with at least 3 years focused on AI/ML securityStrong understanding of LLM architecture, training processes, and deployment modelsExperience implementing security controls for generative AI applicationsProficiency in secure coding practices for AI systemsKnowledge of adversarial machine learning techniques and defensesFamiliarity with AI ethics frameworks and emerging regulationsTechnical SkillsAI security tools and frameworks (e.g., AI Security Alliance tools, LLM security scanners, OWASP LLM Top 10)Programming experience in Python and relevant ML frameworksCloud security for AI workloads (AWS, Azure, GCP)Knowledge of secure MLOps practicesExperience with privacy-enhancing technologies for AI (differential privacy, federated learning)Familiarity with model monitoring and security observability toolsExperience with securing vector databases and embedding pipelines could also be relevant.Ability to communicate complex AI security concepts to technical and non-technical stakeholdersExperience leading cross-functional teams and security initiativesStrategic thinking and risk assessment capabilitiesMentorship experience to develop junior security professionalsExcellent problem-solving skills in high-pressure situationsPreferred QualificationsCISSP certification (strongly preferred) along with other relevant certifications (CISM, Cloud Security)Experience with responsible AI governance frameworksBackground in prompt engineering security or LLM red teamingPublications or contributions to AI security standards or best practicesExperience working with AI ethics committees or review boards#J-18808-Ljbffr