Level: Senior / Principal

Location: Doha, Qatar

Role Overview

We are hiring an AI Security SME to lead the security architecture, governance, and assurance of our AI/ML and GenAI platforms. The role covers classical ML systems as well as modern LLM, RAG, and agentic architectures across cloud and on-prem environments.

Key Responsibilities

• Design and review secure architectures for LLM, RAG, agents, APIs, and ML pipelines

• Conduct AI-specific threat modelling: prompt injection, jailbreaks, data poisoning, model theft, inference attacks

• Align controls with NIST AI RMF, ISO 42001, ISO 27001, OWASP LLM Top 10, MITRE ATLAS

• Define AI security controls: data integrity, PII protection, model signing, SBOM, guardrails, abuse detection

• Implement secure MLOps practices across CI/CD, scanning, policy-as-code

• Lead AI red-team or purple-team exercises

• Build governance and internal policy for Responsible AI, data usage, lifecycle management

• Train stakeholders and guide engineering, data, and cloud teams

Skills

Requirements

• 8–12+ years cybersecurity experience, including 3–5 years with AI/ML or data platforms

• Hands-on experience with cloud AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex)

• Experience securing ML/LLM systems and agentic architectures

• Strong understanding of IAM, cryptography, network/app security, privacy (PII, DPIA)

• Knowledge of NIST AI RMF, ISO 27001, ISO 42001, SOC2, OWASP Top 10, MITRE ATLAS

• Scripting/automation (Python preferred)

• Certifications: CISSP/CISM/CCSP + Cloud Security (AWS/Azure/GCP) + AI Security training (preferred)