AI Security Engineer

CPX

Abu Dhabi

On-site

AED 250,000 - 380,000

Full time

2 hours ago
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Job summary

CPX is seeking a seasoned cybersecurity engineer to design, validate, and enforce security controls across AI/ML and agentic AI services, including Azure AI and third‑party platforms.

The role focuses on protecting data, identities, models, APIs, and AI infrastructure throughout the lifecycle.

Qualifications

  • Bachelor’s degree in computer science, Cybersecurity, Information Technology, Information Systems, Engineering or equivalent.
  • Postgraduate qualification in information/cyber security is an advantage.
  • Minimum 5+ years of cybersecurity engineering experience, including cloud security, application security or data security, with practical exposure to AI/ML or agentic AI platforms.

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.

Skills

AI/ML security
Prompt injection testing
Security automation
Least-privilege RBAC
Cloud security

Education

Bachelor’s degree (CS/Cybersecurity/IT/IS/Engineering)
Postgraduate qualification in information/cyber security

Tools

Microsoft Azure security certifications (SC-100, AZ-500, AI-102)
CISSP/CCSP/CISM
CKS/Kubernetes, DevSecOps
OWASP LLM knowledge

Job description

  • Bachelor’s degree in computer science, Cybersecurity, Information Technology, Information Systems, Engineering or equivalent.
  • Postgraduate qualification in information/cyber security is an advantage.

Minimum Work Experience - 5+ years of cybersecurity engineering experience, including cloud security, application security or data security, with practical exposure to AI/ML or agentic AI platforms.

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)
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
Job Purpose

Engineer and validate security controls for AI/ML and agentic AI services used by the client, 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.
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