ironquill.tech/board

$ cat jobs/ai-security-engineer-playtech-ee4066aa2fb6.json

AI Security Engineer

Playtech·Worldwide·Remote·mid
llmci/cd
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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 AI Security Engineer (System Security) to help secure how we design, build, and operate AI systems across both on-premise and cloud environments. In this role, you will focus mainly on infrastructure security, while also working closely with teams across development, security, and AI adoption. You should have hands-on experience securing or administering the platforms behind AI and agentic workloads, including containerization, virtualization, CI/CD pipelines, and related technologies. 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... Review the AI systems and infrastructure , including local and cloud LLM deployments, gateways, vector stores, and age

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