AI Security Engineer (System Security)

📋 Description

• Review AI systems and infra incl. LLM deployments; advise hardening.
• Assess guardrails: filters, prompt-injection, rate limits, auth.
• Advise on secure-by-design AI architecture; align with OWASP, MITRE ATLAS, NIST RMF.
• Prioritize hardening for self-hosted and cloud LLMs; guide remediation.
• Evaluate AI supply chain: provenance, AIBOM/SBOM, dependencies.
• Define standards and best-practice guidance to secure AI across Playtech.

🎯 Requirements

• Hold valid cybersecurity certifications or equivalent experience.
• Security engineering: Linux, networking, cloud, IAM, container security, automation.
• Experience with self-hosted and cloud LLM platforms (Azure Foundry, Bedrock, VertexAI).
• Review AI systems against best practices; advise teams on hardening and remediation.
• Knowledge of LLM threats: prompt injection, data leakage, poisoning.
• Familiarity with OWASP Top 10 for LLM; MITRE ATLAS; NIST RMF; ISO/IEC 42001.

🎁 Benefits

• Collaboration across teams.
• Ownership, curiosity, and proactive security problem solving.
• Continuous learning and growth in AI security topics.
• Practical impact shaping Playtech’s AI security journey.