This is a 12 month contractual job. Candidate, if selected, needs to relocate to Qatar.
We are seeking an Enterprise AI Security Engineer to secure AI platforms deployed across enterprise cloud and hybrid environments, including integrations with IT and OT systems.
Key Responsibilities:
AI & Machine Learning Security
• Secure AI/ML workloads across training, validation, deployment, and inference phases
• Implement controls to mitigate AI‑specific risks:
• Data poisoning
• Model extraction, inversion, or tampering
• Prompt injection and LLM misuse
• Unauthorized model or API access
• Protect model artifacts, checkpoints, embeddings, and inference endpoints
• Implement monitoring and detection for abnormal model behavior or abuse
Enterprise Cloud & Platform Security Enablement
• Work within Azure, AWS, and/or GCP enterprise landing zones supporting AI platforms
• Apply enterprise cloud controls specifically for AI workloads, including:
• Network segmentation
• Private connectivity
• Secure API exposure
• Implement security controls aligned with enterprise guardrails and standards
Collaboration & Documentation
• Work closely with
Enterprise Architecture, CloudOps, SecOps, Data/AI, and OT teams
• Provide engineering‑level security guidance during implementation phases
• Maintain operational documentation, runbooks, and control mappings
• Coordinate with vendors and system integrators during AI platform onboarding
Experience
• 3-5 years of experience in enterprise IT, cloud platforms, or application security
• 3–5+ years of hands‑on experience with AI/ML security, MLSecOps, or LLMOps
• Experience working in enterprise‑scale cloud environments
• Exposure to IT/OT or industrial environments is highly desirable
