Corporate Security Engineer, AI

Capital.com
Warsaw, Sofia, Cyprus, Bulgaria
Workplace: HybridFull timeFunction: CybersecuritySkills: ["Analytical and problem-solving skills","Translate technical risk into business and regulatory impact","Explain technical concepts to non-security teams","Cross-functional collaboration","Clear documentation and communication"]

Own the security of AI adoption across the corporate environment, covering integration security for LLM deployments, RAG pipelines, AI APIs, and automation tools. Lead AI-specific threat detection and mitigation (prompt injection, jailbreaks, poisoning, leakage), design guardrails and monitoring, and govern data egress with AI-focused DLP. Build and maintain the AI security governance framework, risk register, and control mapping to regulations in a regulated financial services context.

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FursaFursa
Capital.com
Capital.com
1 month ago

Corporate Security Engineer, AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Own the security of AI adoption across the corporate environment, covering integration security for LLM deployments, RAG pipelines, AI APIs, and automation tools. Lead AI-specific threat detection and mitigation (prompt injection, jailbreaks, poisoning, leakage), design guardrails and monitoring, and govern data egress with AI-focused DLP. Build and maintain the AI security governance framework, risk register, and control mapping to regulations in a regulated financial services context.
Location: Warsaw, Sofia, Cyprus, Bulgaria
Workplace: Hybrid
Employment Type: Full time
Job Function: Cybersecurity
Seniority: Mid level

Key Responsibilities

  • •Review and assess security of AI integrations across the corporate environment, including LLM deployments, RAG pipelines, AI APIs, and automation tools.
  • •Evaluate configuration, access controls, and data flows; conduct threat modeling and define secure deployment patterns for AI-powered tools.
  • •Identify and mitigate AI-specific threats (e.g., prompt injection/jailbreaks, model poisoning, adversarial attacks) and develop guardrails, output validation, and monitoring.
  • •Own AI data protection controls, including designing and maintaining AI-focused DLP policies and performing AI-specific data risk assessments.
  • •Build and maintain AI security governance: policy authoring, risk classification, AI risk register reporting, and regulatory/control mapping; support audits with technical evidence.

Pay and Benefits

Perks:Health InsurancePensionRemote WorkPaid Leave

Key Requirements

  • •3–5+ years in cybersecurity with hands-on experience in AI/ML system security or strong AI security focus.
  • •Deep knowledge of AI-specific threats and mitigations, including prompt injection, model poisoning, data leakage, adversarial attacks, and excessive permissions in AI agents.
  • •Hands-on experience securing LLM integrations, RAG pipelines, and AI APIs by reviewing configurations, access controls, and data flows.
  • •Experience authoring AI security policies, standards, and risk classification frameworks, including an understanding of AI governance frameworks.
  • •Python proficiency for automation and scripting.
Skills:Analytical and problem-solving skillsTranslate technical risk into business and regulatory impactExplain technical concepts to non-security teamsCross-functional collaborationClear documentation and communication
Certifications:CISMCISSP
Tech Stack:AIAI/MLLLMRAGAI APIsAutomation toolsDLPGDPREU AI ActNIST AI RMFISO/IEC 42001Python

Company Brief

Capital.com
Operates an online trading platform offering CFDs, forex, commodities, indices and cryptocurrencies to retail investors and traders, combining market access with educational content, analytics, and AI-driven insights for informed trading decisions.
Industry: Trading Platforms
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: London, United Kingdom
Founded: 2016
WebsiteLinkedIn