Corporate Security Engineer, AI

Capital.com

. Own the security of how artificial intelligence is adopted and operated across Capital.com.

Posted 7/27/2026full-timeWarsaw • 🇵🇱 PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI security, including risk assessment, policy authoring, and compliance with regulatory frameworks. Proficient in securing AI integrations and managing third-party AI tools while mitigating specific AI threats.

Highest-signal resume keywords

AI Security Risk AssessmentLLM Integration SecurityAI Policy AuthoringPython ProficiencyAI Governance Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

CybersecurityAI System SecurityThreat ModellingData Protection ControlsConfiguration ReviewAccess Control EvaluationAnomalous Behaviour MonitoringDLP Policy DesignRisk Classification FrameworksAI-Specific Threat Mitigation

Tools & Technologies

AI APIsRAG PipelinesAI Automation ToolsMonitoring ToolsData Loss Prevention (DLP) Tools

Industry Keywords

GDPR ComplianceEU AI ActNIST AI RMFISO/IEC 42001Financial Sector RegulationsAI Risk RegisterThird-Party Due DiligenceShadow AI Management

Tech Stack

Tools & technologies

Cyber SecurityPython

About the role

Key responsibilities & impact

Own the security of how artificial intelligence is adopted and operated across Capital.com.
Review and assess the security of AI system integrations across the corporate environment: LLM deployments, RAG pipelines, AI APIs, and AI-enabled automation tools.
Evaluate configuration, access controls, and data flows of AI systems — the security of how AI is deployed and connected to corporate data and infrastructure.
Conduct threat modelling for AI integrations and define secure deployment patterns for AI-powered tools.
Support security reviews for new AI initiatives, tools, and vendor integrations before they reach production.
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.
Develop guardrails, content filters, and output-validation mechanisms.
Implement monitoring for anomalous AI behaviour across integrated systems.
Own data protection controls in AI contexts: govern what data reaches LLM integrations, AI APIs, and AI-enabled tools.
Design and maintain DLP policies specifically for AI channels — share links, API-connected AI tools, AI browser extensions, and automation agents.
Ensure AI system compliance with GDPR, data-privacy regulations, and financial-industry data handling requirements.
Perform AI-specific data risk assessments aligned with the internal risk methodology.
Operate the controls that govern AI tool use across the organisation — detection policies, sanctioned-tool enforcement, share-link and egress controls.
Lead third-party AI tool due diligence and ongoing assurance of AI vendor integrations.
Monitor AI tool usage patterns and investigate anomalous behaviour.
Contribute to AI security standards, internal policies, and the company's AI risk classification framework.
Own the AI security governance framework: policy authoring, risk classification, control design, and regulatory mapping.
Maintain the AI risk register and report on AI-related risk posture to management.
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.
Participate in audit cycles; provide technical evidence and explain AI control design to auditors and regulators.

Requirements

What you’ll need

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

Benefits

Comp & perks

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.