Applied AI Security Engineer

Salary: £71,000 - 71,000 per year

Requirements:

• University degree in Computer Science, Information Systems, or a related field, or equivalent work experience
• Masters degree is an asset
• Typically 6 to 10 years of relevant work experience
• Demonstrated hands-on experience applying AI/LLM models to real security testing or vulnerability research
• Strong software engineering ability to read, navigate, and reason about large, unfamiliar codebases across multiple languages
• Deep working knowledge of application security fundamentals, including common vulnerability classes, exploit mechanics, and how static, dependency, and dynamic analysis tools work and where they fail
• Proven ability to build working tools and pipelines from scratch, including scripting, automation, and integration work
• Experience designing and running structured technical evaluations or experiments and drawing defensible conclusions from the results
• Comfortable operating with significant ambiguity and no established playbook
• Clear technical communication skills, including the ability to document and defend complex technical decisions to peer security engineers
• Experience working in a regulated or high-assurance environment is preferred
• Familiarity with multiple frontier AI model families and their differing strengths for security-related tasks is preferred
• Prior experience contributing to or building a security capability that did not previously exist is preferred

Responsibilities:

• Run frontier AI models directly against our codebases to find vulnerabilities that conventional tools miss
• Build the methodology for this work through direct experimentation
• Build the pipeline that makes AI-assisted detection usable at scale, including logic that validates findings, cuts duplicates, and routes real issues to remediation
• Run head-to-head technical evaluations of frontier models on real detection tasks and use the evidence to decide which models and techniques we rely on
• Build the integration that plugs AI-assisted detection into how we develop software, working alongside existing security tooling
• Find vulnerability classes current tooling structurally cannot see and build the detection approach to catch them ahead of the rest of the industry
• Work entirely within our governed access and tooling controls
• Defend technical decisions under scrutiny from AI and Security peers, and document the methodology so it survives

Technologies:

• AI
• LLM
• REST
• Security
• Support
• Swift

More:

We are the worlds leading provider of secure financial messaging services, headquartered in Belgium, serving a community of more than 12,000 banks and financial institutions across 200+ countries and legal territories. Our mission is to move value securely, reliably, and at scale for the global financial ecosystem. We foster a diverse, inclusive, and accessible environment where everyones voice counts and where you can reach your full potential. We are committed to an inclusive and accessible recruitment process and will provide reasonable accommodation related to accessibility during application or interview upon request. The role is based in London, United Kingdom.

last updated 36 week of 2026