AI Security Engineer
Reference: AR - AI Sec Eng_1791985660
AI Security Engineer
Job Information
Job Title: AI Security Engineer
Type: Contract 1 year renewable
Sub-Business Unit: Technology Assurance
Location / Coverage: Abu Dhabi
Job Purpose
Engineer and validate security controls for AI/ML and agentic AI services used by the organization, including Azure AI Services, Azure OpenAI, Azure Machine Learning, AI-enabled applications, and third-party AI platforms. The role protects sensitive and regulated data, identities, models, APIs, integrations, and AI infrastructure throughout the AI lifecycle.
Primary Responsibilities
- Maintain an inventory of AI/ML assets, models, inference endpoints, agents, connectors, plugins, training pipelines, and supporting infrastructure.
- Perform security reviews for Azure OpenAI, Azure AI Foundry/Services, Azure Machine Learning, and approved third-party AI services.
- Assess authentication, authorization, managed identities, service principals, API keys, secrets, network exposure, and rate-limiting controls.
- Implement and validate least-privilege RBAC, private endpoints, firewall rules, network isolation, encryption, and secure secret storage.
- Assess AI data flows for PII/PHI and confidential data exposure across prompts, outputs, RAG repositories, connectors, and training datasets.
- Configure or validate content safety filters, prompt guardrails, custom blocklists, and abuse-prevention controls.
- Test for prompt injection, jailbreaks, insecure output handling, excessive agency, data leakage, model misuse, and integration abuse.
- Review model registry permissions, model/version integrity, dependency provenance, and AI supply-chain security.
- Develop AI-specific logging, monitoring, and detection use cases for anomalous API activity, prompt attacks, privilege misuse, and data exposure.
- Support Shadow AI discovery and enforcement using approved CASB/SWG, endpoint, and cloud controls.
- Conduct threat modelling and security testing for AI use cases before production release and following material changes.
- Track AI security findings, risks, exceptions, and remediation actions to closure; support risk acceptance where required.
- Produce AI security assessment reports, data exposure findings, control validation evidence, and maturity recommendations.
- Coordinate with AI Governance, Privacy, Legal, Data, Cloud, AppSec, SOC, and business owners.
Secondary Responsibilities
- Support development of secure AI patterns, guardrails, standards, and reusable review checklists.
- Contribute to AI incident response playbooks and red-team exercises.
- Review third-party AI vendors, data processing terms, retention, and residency controls.
- Maintain awareness of NIST AI RMF, OWASP Top 10 for LLM Applications, ISO/IEC 42001, and emerging AI threats.
Any Other Responsibilities
- Any other responsibilities assigned by the Line Manager in line with business and client requirements.
Skills / Certifications
- Microsoft Azure security/AI certifications such as SC-100, AZ-500, AI-102 or equivalent
- CISSP, CCSP, or CISM (preferred)
- AI security or ML security training; OWASP LLM knowledge
- CKS/Kubernetes or DevSecOps certification (advantage)
Soft Skills
- Excellent written and verbal communication
- Analytical thinking and problem solving
- Attention to detail and quality
- Accountability and ownership
- Teamwork and stakeholder collaboration
- Ability to prioritize and meet deadlines
- Ability to work at client sites and provide after-hours support when required
Minimum Work Experience
- 3+ years of cybersecurity engineering experience, including cloud security, application security, or data security, with practical exposure to AI/ML or agentic AI platforms.
Education
- Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Information Systems, Engineering, or equivalent.
- Postgraduate qualification in Information/Cyber Security is an advantage.
Preferred Skill Set
- Azure AI/OpenAI/ML security and cloud-native controls
- IAM, managed identities, API security, secrets, and network isolation
- AI threat modelling, prompt injection testing, and secure RAG patterns
- DSPM, DLP, classification, and regulated data protection
- Python/PowerShell, CI/CD, and security automation
GCS is acting as an Employment Business in relation to this vacancy.
AI Security Engineer
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