Job Title:
AI Security Officer
Job Purpose And Role Summary
Ensure that AI platforms and AI-enabled processing resources are protected through appropriate security controls to prevent unauthorized access, misuse, leakage, disruption, or manipulation, thereby safeguarding business continuity and regulatory compliance.
Key Accountability
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Design, implement, and maintain secure architectures for AI/ML systems across the bank, including model development, deployment, and monitoring environments.
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Develop and maintain AI security standards, policies, and procedures aligned with regulatory, ethical AI, and information security requirements.
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Integrate security-by-design and privacy-by-design principles into AI model lifecycle (data ingestion, training, validation, deployment, and retirement).
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Conduct threat modeling and risk assessments specific to AI systems (e.g., model theft, data poisoning, adversarial attacks, prompt injection).
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Implement controls to protect training data, feature stores, model artifacts, APIs, and inference endpoints.
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Establish mechanisms to detect and mitigate AI-specific threats including adversarial inputs, model inversion, membership inference, and data leakage.
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Ensure secure access control, identity management, and secrets management for AI platforms, pipelines, and tooling.
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Implement continuous security monitoring for AI systems, including model behavior monitoring, drift detection, and anomaly detection.
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Secure integrations between AI systems and core banking systems, third-party platforms, and cloud services.
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Ensure encryption of AI-related data at rest, in transit, and during processing, including secure key management practices.
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Review and validate the security posture of AI frameworks, libraries, and open-source components used by the bank.
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Define and enforce logging, audit trails, and traceability requirements for AI systems to support investigations and regulatory reviews.
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Implement secure MLOps practices, including CI/CD pipeline security, artifact integrity, and environment segregation.
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Ensure compliance with local data protection laws, QCB regulations, and AI governance requirements related to automated decision-making.
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Classify AI data assets and models and ensure secure sharing with third parties, vendors, and regulators with due diligence.
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Support AI security awareness initiatives by providing technical guidance and training to developers, data scientists, and IT teams.
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Proactively report and escalate any AI-related security weaknesses, vulnerabilities, or policy violations.
Breach Investigation
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Lead and support investigations of AI-related security incidents, including data leakage, model compromise, and unauthorized access.
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Identify root causes, recommend corrective and preventive actions, and support management in disciplinary or legal actions when required.
Compliance & Reporting
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Prepare technical AI security reports, risk assessments, and control effectiveness documentation as required by management and regulators.
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Assist IT, Compliance, Risk, and Internal Audit teams in assessing the adequacy of AI security and governance controls.
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Provide accurate and timely technical evidence and documentation to internal and external auditors.
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Stay up to date with emerging AI security threats, global best practices, and regulatory developments.
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Maintain strict confidentiality of AI models, data, algorithms, and commercially sensitive information.
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Prepare departmental, technical, and risk reports related to AI security in a timely and accurate manner.
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Ensure adherence to QDB guidelines, SOPs, ethical AI principles, and applicable regulations
Qualifications /Education
Bachelor’s degree in Artificial Intelligence, Computer Science, Information Technology or any related discipline.
Years Of Experience
Minimum 5 years of experience of which a minimum of 3 years should be in a similar role/position.
Preferred Professional Certificates (if Applicable)
Certified Information Security Professional (CISP)
Skills: ai security,data,sops,algorithms,cisp,departmental,technical,qdb,ai models,risk reports