Corporate Security Engineer, AI

Key Responsibilities

AI/ML Security — Integrations & Environment

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• Review and assess the security of AI system integrations across the corporate environment: LLM deployments, RAG pipelines, AI APIs, and AI-enabled automation tools
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• Evaluate configuration, access controls, and data flows of AI systems — the security of how AI is deployed and connected to corporate data and infrastructure
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• Conduct threat modelling for AI integrations and define secure deployment patterns for AI-powered tools
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• Support security reviews for new AI initiatives, tools, and vendor integrations before they reach production

AI Threat Detection & Mitigation

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Identify and mitigate AI-specific threats: prompt injection & jailbreaks, model poisoning & data contamination, adversarial attacks, training-data leakage, insecure model serialisation, excessive permissions in AI agents

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Develop guardrails, content filters, and output-validation mechanisms

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Implement monitoring for anomalous AI behaviour across integrated systems

AI Data Egress & Data Protection

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• Own data protection controls in AI contexts: govern what data reaches LLM integrations, AI APIs, and AI-enabled tools
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• Design and maintain DLP policies specifically for AI channels — share links, API-connected AI tools, AI browser extensions, and automation agents
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• Ensure AI system compliance with GDPR , data-privacy regulations, and financial-industry data handling requirements
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• Perform AI-specific data risk assessments aligned with the internal risk methodology

AI Tool Risk & Shadow AI

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• Operate the controls that govern AI tool use across the organisation — detection policies, sanctioned-tool enforcement, share-link and egress controls
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• Lead third-party AI tool due diligence and ongoing assurance of AI vendor integrations
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• Monitor AI tool usage patterns and investigate anomalous behaviour
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• Contribute to AI security standards, internal policies, and the company's AI risk classification framework

Compliance & Governance

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Own the AI security governance framework: policy authoring, risk classification, control design, and regulatory mapping

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Maintain the AI risk register and report on AI-related risk posture to management

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Map AI security controls against applicable regulatory frameworks: EU AI Act, NIST AI RMF , ISO/ IEC 42001, GDPR , and financial-sector requirements across FCA , CySEC , ASIC , SCB , and SCA jurisdictions

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Participate in audit cycles; provide technical evidence and explain AI control design to auditors and regulators

Required Qualifications

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• 3–5+ years in cybersecurity with hands-on experience in AI/ML system security or a strong AI security focus;
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• Deep knowledge of AI-specific security risks and mitigations: prompt injection, model poisoning, data leakage, adversarial attacks, excessive permissions in AI agents;
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• Hands-on experience securing LLM integrations, RAG pipelines, and AI APIs — reviewing configurations, access controls, and data flows;
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• Experience authoring AI security policies, standards, and risk classification frameworks;
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• Familiarity with AI governance frameworks: EU AI Act, NIST AI RMF , ISO/ IEC 42001, and their application in a regulated financial services context;
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• Experience running AI risk assessments and maintaining an AI risk register;
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• Ability to manage third-party AI tool due diligence and control shadow AI across a distributed workforce;
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• Python proficiency for automation and scripting.

Preferred Qualifications

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• Recognised certifications: CISM , CISSP , or equivalent;
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• Experience in fintech or a regulated financial services environment;
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• Multi-jurisdiction compliance exposure ( FCA , CySEC , ASIC , SCB , or SCA );
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• Experience building AI-powered security automation — autonomous agents, LLM-driven triage, automated response workflows;
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• Experience presenting AI security risk posture to leadership or board-level audiences.

Soft Skills

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• Strong analytical and problem-solving skills;
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• Ability to translate technical AI risk into business and regulatory impact;
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• Able to explain AI security risks and mitigations to non-security teams;
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• Cross-functional collaboration with risk, compliance, product, and engineering teams;
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• Clear documentation and communication skills.

What you will get in return

• Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
• Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
• Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
• Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
• Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
• Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
• Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.