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AI Security & Compliance Engineer | London, UK

CER Financial • London, England, GB • 1d ago

AI Security & Compliance Engineer

City of London

Hybrid (3/2 split)

6-months contract

£705 per day (via Umbrella)

cer Financial are working alongside an international bank who are based in the City of London. They are seeking an AI Security & Compliance Engineer to work with them on a contract.

The responsibilities of an AI Security & Compliance Engineer will include:

Secure AI Engineering & Design Collaboration:
•
• Partner with engineering teams to embed security-by-design and privacy-by-design principles into AI agents, copilots, and automation workflows. • Define and implement technical controls for: • Data access and protection • Model transparency and explainability • Human oversight and fallback mechanisms • Audit logging and traceability

AI Risk & Compliance Architecture:
•
• Design and enforce compliance frameworks for high-risk AI systems, aligned with the EU AI Act, FCA/PRA AI Principles, and ISO/IEC 42001. • Conduct technical risk assessments on AI use cases, focusing on model behaviour, data governance, and user interaction. • Collaborate on the development of model cards, risk registers, and post-market monitoring plans.

Microsoft Purview Integration:
•
• Use Microsoft Purview to implement and manage: • Data classification and sensitivity labels • Data loss prevention (DLP) policies • Information protection and access controls • Compliance reporting and audit trails for AI-related data flows

AI System Onboarding & Governance Support:
•
• Work with the AI Governance Lead to assess new AI systems being introduced into the bank. • Evaluate solutions for compliance with internal policies and external regulations. • Provide technical input on risk mitigation strategies and onboarding documentation.

Security & DevSecOps Integration:
•
• Integrate AI security controls into CI/CD pipelines and MLOps workflows. • Use tools such as Azure Key Vault, Microsoft Entra ID, and GitHub Actions for secure deployment and access management. • Monitor AI systems using Azure Monitor, Log Analytics, and Application Insights.

Policy Implementation & Regulatory Alignment:
•
• Translate regulatory requirements into actionable engineering guidelines and reusable controls. • Ensure AI systems avoid prohibited practices and meet obligations around: • Transparency and user awareness • Data minimisation and lawful processing • Continuous monitoring and incident response

Cross-Functional Collaboration & Governance:
•
• Partner with legal, compliance, and architecture teams to align AI development with enterprise risk and governance frameworks. • Contribute to internal working groups on Responsible AI, AI governance, and ethical design. • Educate stakeholders on emerging AI risks and mitigation strategies.

The successful AI Security & Compliance Engineer will have experience in:
•
• Strong technical background in AI/ML systems, with experience embedding security and compliance into product design. • Expert-level knowledge of Microsoft Purview for data governance, classification, and compliance. • Familiarity with AI governance frameworks (e.g., NIST AI RMF, ISO/IEC 42001, Microsoft Responsible AI Standard). • Azure AI services, Microsoft Copilot Studio, and Power Platform • Secure deployment tools (e.g., Azure Key Vault, RBAC, CI/CD pipelines) • Data protection and privacy controls (e.g., DLP, masking, classification) • Knowledge of regulatory frameworks including the EU AI Act, GDPR, and FCA guidance. • Experience working in cross-functional teams across engineering, legal, and risk domains.

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