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