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AI Security Subject Matter Expert; SME
Job Description & How to Apply Below
Level: Senior / Principal
Location: Doha, Qatar
Role OverviewWe 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
- 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)
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