System & AI Security Engineer

📋 Description

• Review AI systems and infrastructure, including local and cloud LLM deployments, gateways, vector
• Design, implement, support and improve various technologies within the team, and our area of
• Participate in, and support Security Risk Assessments, audits and Compliance reviews required by
• Assess existing guardrails and controls, such as input/output filtering, prompt-injection defences
• Recommend and prioritize hardening across the infrastructure behind self-hosted and cloud-based
• Evaluate the AI supply chain, such as model provenance, AIBOM/SBOM, dependency and artifact

🎯 Requirements

• Hold valid and relevant Certifications or equivalent, verifiable experience in the field of Cyber
• Experience working with EDR Solutions (Defender for Endpoint, Crowdstrike, SentinelONE etc).
• Experience with Email Security Solutions, and working knowledge of Email solutions is an advantage.
• Solid infrastructure and security engineering experience — Linux, networking, cloud, IAM, container
• Know your way around both self-hosted LLM deployment and cloud LLM platforms (e.g. Azure Foundry
• Can review and assess AI systems against best practice and clearly advise teams on what to harden

🎁 Benefits

• Collaboration across teams
• Ownership, curiosity, and a proactive approach to solving complex security challenges
• Continuous learning and the opportunity to grow into the role while working on AI security topics
• Practical impact, with the chance to help shape Playtech’s AI future and support secure AI adoption