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Overview
Join Playtech as an AI Security Engineer to secure AI systems and infrastructure. Collaborate with teams to enhance security measures and drive innovation in AI adoption. About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices.
What you'll do
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).
Conditions
Thrive in a culture that values...
- •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 that are becoming increasingly important for the business.
- •Practical impact, with the chance to help shape Playtech’s AI future and support secure AI adoption across the company.