Cyber Security Specialist - AI Security

Salt; Abu Dhabi; On-site; AED 240,000 - 420,000; Full time

Job summary

Salt seeks a Cybersecurity Specialist with hands-on AI security experience to assess and secure enterprise AI solutions, LLM applications, and agentic AI integrations. You will collaborate with AI engineering, cloud, governance, and security teams to ensure secure, compliant production-ready AI systems in the UAE.

The role covers risk assessments, architecture reviews, threat modelling, and security testing across AI platforms and cloud environments, with strong emphasis on Azure services and

Qualifications

• Bachelor's degree in a related field is required.
• At least 5 years of cybersecurity engineering experience in cloud, app, or data security.
• Hands-on exposure to AI/ML, LLM security, or agentic AI platforms.
• Strong knowledge of AI security threats, threat modelling, risk assessments, and testing.
• Hands-on experience with Azure security services and IAM concepts.

Responsibilities

• Conduct cybersecurity risk assessments for AI/ML and agentic AI solutions.
• Perform security architecture reviews and threat modelling across AI apps and cloud environments.
• Identify and test AI-specific vulnerabilities including prompt injection and data leakage.
• Assess agentic AI MCP integrations, including identity, permissions, and sandboxing.
• Validate controls for data protection, encryption, IAM, secrets management, and API security.
• Assess RAG architectures, vector databases, and AI supply-chain risks.
• Support security monitoring, incident investigations, and remediation tracking.
• Document findings and provide actionable security recommendations.
• Ensure AI solutions meet UAE cybersecurity and data protection requirements.

Skills

Cybersecurity

AI security

Threat modelling

Risk assessments

Security testing

Azure security

Python

PowerShell

CI/CD security

RBAC

Secrets management

Education

Bachelor's degree in Cybersecurity, Computer Science, IT, Engineering, or a related field

Tools

Azure security services

RBAC

Managed Identities

APIs

Encryption

Secrets management

CI/CD tooling

Job description

We are looking for a Cybersecurity Specialist with hands‑on AI Security experience to assess and secure enterprise AI solutions, LLM applications, and agentic AI integrations.

This role focuses on security risk assessments, architecture reviews, threat modelling, and security testing across AI platforms and cloud environments. You will work closely with AI engineering, cloud, governance, and security teams to ensure AI solutions are secure, compliant, and ready for production.

Key Responsibilities

• Conduct cybersecurity risk assessments for AI/ML solutions, LLM applications, agentic AI systems, and third‑party AI integrations.
• Perform security architecture reviews, threat modelling, and design assessments across AI applications, APIs, data flows, and cloud environments.
• Identify and test AI‑specific vulnerabilities, including prompt injection, jailbreaks, sensitive data leakage, excessive agency, and insecure integrations.
• Assess agentic AI and Model Context Protocol (MCP) integrations, including identity, permissions, tool execution, sandboxing, and human approval controls.
• Validate security controls for data protection, encryption, identity and access management, secrets management, network security, and API protection.
• Assess RAG architectures, vector databases, AI connectors, model integrity, and AI supply‑chain risks.
• Support AI security monitoring, incident investigations, and the identification of unauthorized AI usage.
• Track vulnerabilities and remediation activities, document findings, and provide actionable security recommendations.
• Ensure AI solutions meet applicable UAE cybersecurity policies and data protection requirements.

Requirements

• Bachelor's degree in Cybersecurity, Computer Science, IT, Engineering, or a related field.
• At least 5 years of cybersecurity engineering experience, ideally in cloud security, application security, or data security.
• Practical exposure to AI/ML, LLM security, or agentic AI platforms, including enterprise AI integrations.
• Strong understanding of AI security threats, threat modelling, risk assessments, architecture reviews, and security testing.
• Hands‑on knowledge of Azure security services, Azure AI, RBAC, managed identities, APIs, encryption, and secrets management.
• Familiarity with OWASP LLM security guidance and AI‑specific vulnerabilities.
• Scripting skills in Python, PowerShell, or similar languages, with exposure to automated security testing or CI/CD security controls.
• Strong analytical, documentation, and stakeholder communication skills.

Preferred Qualifications

• Microsoft security and AI certifications such as SC-100, AZ-500, or AI-102, or equivalent credentials.
• CISSP, CCSP, CISM, or relevant AI/ML security training.
• Experience assessing AI proof‑of‑concepts (PoCs), production AI integrations, and agentic AI workflows.
• Knowledge of UAE cybersecurity and data protection requirements.