Senior Cybersecurity Specialist & AI/LLM/GenAI Focus

Norman Alex; Dubai; On-site; AED 350,000 - 450,000; Full time

Job summary

A leading cybersecurity firm in Dubai is seeking a Senior Cybersecurity Specialist with expertise in AI and ML. This role involves securing generative AI systems and developing security frameworks. Ideal candidates will have over 7 years of experience in cybersecurity and at least 3 years focused on AI/ML security. Responsibilities include conducting security assessments, leading red team exercises, and collaborating with AI engineers to ensure compliance with regulations. This strategic role is crucial for implementing enterprise-wide LLM initiatives.

Qualifications

• 7+ years of experience in cybersecurity with at least 3 years focused on AI/ML security.
• Strong understanding of LLM architecture, training processes, and deployment models.
• Experience implementing security controls for generative AI applications.

Responsibilities

• Conduct comprehensive security assessments for AI/LLM implementations.
• Develop and implement security controls specific to generative AI systems.
• Lead red team exercises to test the resilience of AI systems.

Skills

7+ years of experience in cybersecurity

Strong understanding of LLM architecture

Experience implementing security controls for generative AI applications

Proficiency in secure coding practices

Knowledge of adversarial machine learning techniques

Familiarity with AI ethics frameworks

Tools

AI Security Alliance tools

LLM security scanners

OWASP LLM Top 10

Python

AWS

Azure

GCP

Job description

Senior Cybersecurity Specialist - AI/LLM/GenAI Focus

Job Openings Senior Cybersecurity Specialist - 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/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 (GDPR, NIST AI RMF, EU AI Act) and ethical guidelines

Establish 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 Qualifications

7+ years of experience in cybersecurity with at least 3 years focused on AI/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 (e.g., AI Security Alliance tools, LLM security scanners, OWASP LLM Top 10)

Programming experience in Python and relevant ML frameworks

Cloud security for AI workloads (AWS, Azure, GCP)

Knowledge of secure MLOps practices

Experience with privacy-enhancing technologies for AI (differential privacy, federated learning)

Familiarity with model monitoring and security observability tools

Experience with securing vector databases and embedding pipelines could also be relevant.

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 (CISM, 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