Job Purpose

Lead the development and execution of the Bank's AI and GenAI audit strategy to assess governance, control effectiveness, ethical use, data integrity, model risk, and regulatory compliance across all AI-enabled initiatives, and to enable responsible AI adoption across the Bank.

Key Result Areas

Develop and implement risk-based AI/GenAI audit strategies aligned with the Bank's AI agenda and regulatory expectations.
Execute audits over the AI/ML lifecycle — data sourcing, training, validation, deployment, monitoring, retraining, and decommissioning (MLOps/LLMOps).
Provide assurance on AI governance, model risk management (MRM), ethics, fairness, bias, explainability, and human-in-the-loop controls.
Audit GenAI/LLM use cases — RAG pipelines, fine-tuning, prompt engineering, guardrails, vector databases, and output validation.
Assess AI cybersecurity risks — adversarial attacks, prompt injection, data poisoning, model theft, jailbreaks (OWASP LLM Top 10, MITRE ATLAS).
Evaluate third-party AI risks covering foundation model providers (OpenAI, Anthropic, Google, Meta,



Mistral, open-source) and cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI).
Assess compliance with AI and data regulations — CBUAE, QCB, SBP, RBI,UAE PDPL etc.
Audit AI use in credit, AML/fraud, KYC, chatbots, personalization, trading, and operations automation.
Prepare and present impactful audit reports to the Board Audit Committee, GCEO, and senior management, translating complex AI concepts into business language.
Partner in Internal Audit AI transformation — continuous auditing, GenAI-enabled audit tools, and audit team upskilling.
Guide, coach, and develop AI audit team members; foster a culture of learning, agility, and innovation.
Support integrated audits by providing AI/technology subject-matter expertise across the Bank.

Knowledge, Skills and Experience

Education
Bachelor's degree in Computer Science, IT, Data Science, AI, Statistics, Mathematics, or a related quan

📌 VP-AI Audit (India)
🏢 Mashreq
📍 India