capital.com - AI Security Engineer
Requirements
• 3–5+ years in software engineering, ML engineering, or application security • Hands-on experience with AI/ML systems — LLMs, NLP models, or similar. • Python proficiency for automation and scripting. • Strong understanding of cloud platforms: AWS, Azure, or GCP • Experience with API security, Docker, Kubernetes • Knowledge of AI-specific security risks and mitigations • Experience conducting threat modeling and risk assessments. • Familiarity with RAG architectures, vector databases, ML pipelines (MLflow, Kubeflow, SageMaker). • Experience in fintech or regulated environments. • Knowledge of AI governance frameworks (EU AI Act, NIST AI RMF, ISO/IEC 42001). • Background in cybersecurity or application security (OWASP, Secure SDLC). • Strong analytical and problem-solving skills. • Ability to translate technical risk into business impact. • Able to explain AI security risks and mitigations to non-security teams. • Cross-functional collaboration with ML, data, and product teams. • Clear documentation and communication skills.
Responsibilities
• AI/ML Security Architecture • Design and implement security controls for AI/ML systems across development, training, and production. • Secure LLM integrations, RAG pipelines, and AI APIs. • Conduct threat modeling for AI systems and data pipelines. • Define secure-by-design patterns for AI-powered features. • AI Threat Detection & Mitigation • Identify and mitigate AI-specific threats: prompt injection and jailbreak techniques, model poisoning and data contamination, adversarial attacks, training data leakage, insecure model serialization, excessive permissions in AI agents. • Develop guardrails, content filters, and output validation mechanisms. • Implement monitoring for anomalous AI behavior. • Secure Development & DevSecOps • Integrate AI security checks into CI/CD pipelines. • Perform security reviews of ML code and AI-related infrastructure. • Secure model registries and artifact storage. • Collaborate with other engineers and platform teams to enforce security standards. • Data Protection & Compliance • Ensure AI systems comply with: GDPR and data privacy regulations, financial industry regulatory requirements, implement controls for sensitive data used in training and inference, perform AI risk assessments aligned with internal risk methodology. • Governance & Policy • Contribute to AI security standards and internal policies. • Define AI risk classification and control frameworks. • Support security reviews for new AI initiatives / tools. • 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. • Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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