System & AI Security Engineer

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. Design, Implement, Support and Improve various technologies within the team, and our area of responsibility (EDR, Proxy, Email Security, Endpoint Hardening) Participate in, and support Security Risk Assessments , audits and Compliance reviews required by various standards and laws. Assess existing guardrails and controls , such as input/output filtering, prompt-injection defences, 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. 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). Components for success. You... Hold valid and relevant Certifications or equivalent, verifiable experience in the field of Cyber Security and/or Information Technology. Have 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. Bring solid infrastructure and security engineering experience — Linux, networking, cloud, IAM, container security, automation, System Hardening etc. Know your way around both self-hosted LLM deployment and cloud LLM platforms (e.g. Azure Foundry, Amazon Bedrock, Google VertexAI, Ollama, LMStudio etc). Can review and assess AI systems against best practice and clearly advise teams on what to harden, improve, or remediate on an ongoing basis. Have prior knowledge of LLM-specific threats : prompt injection, sensitive-data disclosure, data/model poisoning, excessive agency, insecure output handling, supply-chain risk…