AI Security Engineer (System Security)

Playtech — Tartu / Tallinn, Estonia

Your influential mission. You will...

• Review the AI systems and infrastructure, including local and cloud LLM deployments, gateways, vector stores, and agentic / MCP components, and provide clear recommendations on required hardening measures and areas for improvement.
• Assess existing guardrails and controls, such as input/output filtering, prompt-injection defenses, rate limiting, and authentication, against industry best practice, provide recommendations to strengthen their effectiveness and drive the implementation of improvements and new controls to ensure the secure and responsible use of AI.
• Advise on secure-by-design AI architecture, reviewing team designs and deployments against recognized frameworks (OWASP, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001).
• Recommend and prioritize hardening across the infrastructure behind self-hosted and cloud-based LLMs, and guide teams through remediation.
• Evaluate the AI supply chain, such as model provenance, AIBOM/SBOM, dependency and artifact scanning, and provide recommendations to address gaps (Including Vibe Coded Applications).
• Define standards, reference patterns, and best-practice guidance to ensure teams across Playtech build and operate AI securely.
• Review logging, observability, and detection coverage for AI workloads mapped to frameworks such as MITRE ATLAS, and recommend enhancements to ensure the SOC can effectively monitor and respond across the full AI attack surface.
• Assess identity, access, and secrets management for models, tools, and data, advising on least-privilege improvements.
• Support compliance in a regulated environment with audit-ready assessments, evidence, and documentation.
• Drive innovation within the team — Investigate and where possible implement Agentic AI usage within the unit, to optimize time consuming activities (Chatbots, automation with Hermes or n8n etc)