About the Role
This role sits at the intersection of AI innovation, governance, and risk management. As an AI Risk & Compliance Specialist, you will help shape how AI systems are assessed, controlled, and governed, supporting safe and responsible adoption while partnering with technical and business stakeholders across complex client environments.
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Responsibilities
- Identify, assess, classify, measure, and monitor AI risks throughout the AI lifecycle, including bias, discrimination, hallucinations, fairness, explainability, transparency, safety, privacy, and accountability.
- Assess technical threats such as privacy leakage, data exposure, prompt injection, model manipulation, misuse, and unauthorized actions.
- Monitor model drift, data drift, performance degradation, robustness, and regulatory compliance.
- Define and implement risk metrics, thresholds, testing methods, automated controls, alerts, and reassessment triggers.
- Configure and maintain AI risk assessments, compliance workflows, validation processes, approval mechanisms, and evidence-management capabilities.
- Monitor risk registers, compliance controls, exceptions, remediation actions, and governance findings.
- Support dashboards, risk indicators, compliance tracking, and periodic control testing.
- Apply relevant SDAIA AI requirements, Responsible AI principles, cybersecurity, privacy, data governance, and model risk management requirements.
- Collaborate with AI engineers, platform developers, and client stakeholders to enhance AI governance and risk controls.
Requirements
- Bachelor's degree in Artificial Intelligence, Computer Science, Data Science, or a related field.
- Minimum 3 years of professional experience, including hands-on work in AI risk assessment, AI governance, Responsible AI, and model risk management.
- Hands-on experience designing or operating AI compliance controls and risk mitigation, as well as translating applicable regulatory requirements into controls, assessments, evidence, and monitoring activities for AI systems.
- Experience in AI model testing and monitoring, with strong knowledge of SDAIA AI requirements and AI-related cybersecurity risks, including prompt injection, data leakage, model manipulation, and unauthorized access.
- Hands-on experience in data privacy and data governance.
- Experience working with AI engineers and platform teams to understand AI systems, identify technical risks, validate controls, and agree on mitigation actions.
- Experience coordinating with governance, risk, and audit teams on AI risk assessments, compliance reviews, control testing, audit evidence, and remediation tracking, and communicating risk findings, control gaps, remediation updates, and compliance status to client and business stakeholders.
- Fluent English and proficiency in Arabic.
- Eligible to work in Saudi Arabia and able to work on-site.
- Experience presenting risk assessments, governance reports, or remediation plans to senior stakeholders is a plus.
- An ISO/IEC 42001, ISO/IEC 23894, model risk management, Responsible AI, CRISC, CISA, or CIPP/E certification, or a relevant training credential, is a plus.
Benefits
- Private Health Insurance
- Training & Development
