// Open Role at Playtech
Join Playtech's System Security team as a System & AI Security Engineer to fortify infrastructure, EDR, and email security, while shaping the secure adoption of AI across the company's systems in a hybrid environment.
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. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com
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
Ready to level up your career?
Playtech’s System Security team is looking for a proactive System and AI Security Engineer to join our team, and be a part of our journey, securing our Systems as well as playing a part in our Secure AI Adoption within the company, taking part in various projects and initiatives in various areas.
In this role, you will primarily focus on infrastructure security, including EDR, email security gateways, and endpoint hardening, while collaborating closely with development, security, and teams adopting AI. Due to the nature of the position, hands-on experience securing and administering platforms that support AI and agentic workloads is essential. Experience with containerization, virtualization, CI/CD pipelines, and related technologies is highly desirable.
We are looking for someone collaborative, proactive, and curious, with a strong sense of ownership and a continuous learning mindset. This is a great opportunity to contribute to Playtech’s AI security journey and help shape how AI is adopted securely across the business.
Your influential mission. You will...
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 and how to mitigate them.
Have knowledge of some of the various AI security frameworks and Guidelines — OWASP Top 10 for LLM Applications (2025) and for Agentic Applications (2026), MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, CISA/NSA guidance, and the EU AI Act — and how to translate them into controls.
Have prior experience in guardrail implementation and design evaluation, including prompt-injection defense, output validation, and hallucination mitigation.
Had exposure to using infrastructure-as-code (Terraform, Ansible) and CI/CD pipelines to make controls repeatable.
Have experience navigating, and working in regulated environments such as gaming, finance, or healthcare.
Have clear communication, presentation and collaboration skills — strong documentation skills and cross-team collaboration are central to this role.
You'll get extra points for...
Thrive in a culture that values...
SYSYTEM SECURITY TEAM
You will be part of the System Security - Endpoint & Gateway team, collaborating closely with another System Security team focused on Data & Identity Security. You will work with team members including an AI Security Engineer focused on Workforce AI, System Security Engineers, and a Principal Security Engineer, while also collaborating with the Playtech AI Committee, other Playtech Security teams, the Application Security Team, and teams across the wider business.
Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to join us and be themselves at work.
- Review and harden AI systems and infrastructure, including LLM deployments, gateways, vector stores, and agentic components, providing clear recommendations for improvement. - Design, implement, support, and improve EDR, Proxy, Email Security, and Endpoint Hardening technologies. - Participate in and support Security Risk Assessments, audits, and compliance reviews. - Assess existing guardrails and controls (e.g., input/output filtering, prompt-injection defenses, rate limiting, authentication) against industry best practices, and drive implementation of improvements. - Recommend and prioritize hardening across infrastructure supporting self-hosted and cloud-based LLMs. - Evaluate the AI supply chain (model provenance, AIBOM/SBOM, dependency/artifact scanning) and recommend solutions for gaps. - Define standards, reference patterns, and best-practice guidance for secure AI operation. - Review logging, observability, and detection coverage for AI workloads, mapped to frameworks like MITRE ATLAS, and recommend enhancements. - 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 by investigating and implementing Agentic AI usage for optimizing time-consuming activities. - Hold valid and relevant Certifications or equivalent, verifiable experience in Cyber Security and/or Information Technology. - Experience working with EDR Solutions (e.g., Defender for Endpoint, Crowdstrike, SentinelONE). - Experience with Email Security Solutions and working knowledge of Email solutions. - Solid infrastructure and security engineering experience (Linux, networking, cloud, IAM, container security, automation, system hardening). - Experience with both self-hosted LLM deployment and cloud LLM platforms (e.g., Azure Foundry, Amazon Bedrock, Google VertexAI, Ollama, LMStudio). - Ability to review and assess AI systems against best practice and advise teams on hardening/remediation. - Prior knowledge of LLM-specific threats (prompt injection, sensitive-data disclosure, data/model poisoning, excessive agency, insecure output handling, supply-chain risk) and their mitigation. - Knowledge of AI security frameworks and guidelines (OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, CISA/NSA guidance, EU AI Act). - Prior experience in guardrail implementation and design evaluation, including prompt-injection defense, output validation, and hallucination mitigation. - Exposure to using infrastructure-as-code (Terraform, Ansible) and CI/CD pipelines. - Experience navigating and working in regulated environments (gaming, finance, or healthcare). - Clear communication, presentation, and collaboration skills.