AI Security Engineer (System Security)

📋 Description

• Review AI systems and infra (LLMs, gateways, vector stores) for hardening needs.
• Assess guardrails (filters, prompt-injection, rate-limiting, auth) and improve.
• Advise on secure-by-design AI architecture; map to OWASP, MITRE ATLAS, NIST.
• Prioritize hardening across LLM infra (self-hosted and cloud) and guide remediation.
• Evaluate AI supply chain (AIBOM/SBOM, provenance, dependencies) and close gaps.
• Define standards and best practices to build AI securely.

🎯 Requirements

• Certifications or equivalent in Cyber Security/IT.
• Infra and security engineering experience: Linux, networking, cloud, IAM, container security, automation.
• Experience with self-hosted LLM deployment and cloud platforms (Azure Foundry, Bedrock, VertexAI, Ollama, LMStudio).
• Review AI systems against best practices and advise on hardening/remediation.
• Knowledge of LLM threats and mitigations (prompt injection, data leakage, provenance).
• Familiar with AI security frameworks: OWASP Top 10 for LLM/Agentic Apps, MITRE ATLAS, NIST RMF, ISO/IEC 42001.

🎁 Benefits

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