Senior Cybersecurity Specialist With AI LLM GenAI Focus

About the job

Senior cybersecurity specialist - AI, LLM, GenAI focus

Job summary

A 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 responsibilities

Conduct comprehensive security assessments for AI and LLM implementations, identifying vulnerabilities in prompt engineering, model architecture, and deployment pipelines
Develop and implement security controls specific to generative AI systems, including prompt injection defenses and data poisoning prevention
Lead red team exercises to test the resilience of AI systems against adversarial attacks
Collaborate with AI engineers to implement privacy-preserving techniques in model training and inference
Monitor and respond to emerging AI security threats including model inversion attacks, training data extraction, and inference manipulation
Ensure compliance with AI-specific regulations such as GDPR, NIST AI RMF, and the EU AI Act, as well as ethical guidelines
Establish and maintain AI security governance frameworks and policies
Protect proprietary codebases, models, and training data as a key responsibility, including source code governance, secure model storage, AI-assisted coding tools, and managing open-source dependency risks

Required qualifications

7+ years of experience in cybersecurity with at least 3 years focused on AI and ML security
Strong understanding of LLM architecture, training processes, and deployment models
Experience implementing security controls for generative AI applications
Proficiency in secure coding practices for AI systems
Knowledge of adversarial machine learning techniques and defenses
Familiarity with AI ethics frameworks and emerging regulations

Technical skills

AI security tools and frameworks such as AI Security Alliance tools, LLM security scanners, and OWASP LLM Top 10
Programming experience in Python and relevant ML frameworks
Cloud security for AI workloads including AWS, Azure, and GCP
Knowledge of secure MLOps practices
Experience with privacy-enhancing technologies for AI such as differential privacy and federated learning
Familiarity with model monitoring and security observability tools
Experience with securing vector databases and embedding pipelines
Familiarity with the OECD AI principles

Soft skills and leadership

Ability to communicate complex AI security concepts to technical and non-technical stakeholders
Experience leading cross-functional teams and security initiatives
Strategic thinking and risk assessment capabilities
Mentorship experience to develop junior security professionals
Excellent problem-solving skills in high-pressure situations

Preferred qualifications

CISSP certification strongly preferred, along with other relevant certifications such as CISM and cloud security
Experience with responsible AI governance frameworks
Background in prompt engineering security or LLM red teaming
Publications or contributions to AI security standards or best practices
Experience working with AI ethics committees or review boards

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