VP, AI Audit – Shared Services

This is a fully remote position, open to applicants in India.

📋 Description

• Design and execute risk-based AI/GenAI auditing strategies that are in line with the Bank's AI objectives and regulatory requirements.

• Conduct audits spanning the AI/ML lifecycle, which includes data sourcing, training, validation, deployment, monitoring, retraining, and decommissioning.

• Deliver assurance regarding AI governance, model risk management, ethics, fairness, bias, explainability, and human-in-the-loop controls.

• Audit GenAI/LLM applications, including RAG pipelines, fine-tuning processes, prompt engineering, guardrails, vector databases, and output validation.

• Evaluate AI cybersecurity threats such as adversarial attacks, prompt injection, data poisoning, model theft, and jailbreaks.

• Assess risks associated with third-party AI, specifically focusing on foundation model providers and cloud AI platforms.

• Ensure compliance with AI and data regulations, including those from CBUAE, QCB, SBP, RBI, and UAE PDPL.

• Audit the application of AI in areas such as credit, AML/fraud, KYC, chatbots, personalization, trading, and operational automation.

• Prepare and present audit findings to the Board Audit Committee, the Group Chief Executive Officer, and senior management.

• Assist in the Internal Audit AI transformation through ongoing auditing, GenAI-enabled audit tools, and upskilling the audit team.

• Mentor, coach, and develop members of the AI audit team.

• Collaborate on integrated audits with expertise in AI and technology across the Bank.

⛳️ Requirements

• A Bachelor's degree in Computer Science, IT, Data Science, AI, Statistics, Mathematics, or a related quantitative discipline.

• At least 10–12 years of experience in IT audit, technology risk, model risk, or AI/data governance.

• Minimum of 3–4 years specifically dedicated to AI/ML or GenAI risk, governance, or auditing.

• Experience in the banking sector is preferred.

• CISA certification is required or must be obtained within 12 months of employment.

• A solid understanding of supervised, unsupervised, reinforcement, and deep learning, as well as NLP and computer vision.

• Familiarity with foundation models, transformers, embeddings, RAG, fine-tuning, prompt engineering, agentic AI, and multimodal AI.

• Experience with OpenAI, Anthropic, Google, Meta, Mistral, and open-source models.

• Proficiency in Azure OpenAI, AWS Bedrock/SageMaker, Google Vertex AI, Databricks, Hugging Face, LangChain, and vector databases.

• Knowledge of AI governance and risk management frameworks.

• Strong analytical and problem-solving abilities focused on emerging AI risks.

• Excellent communication and interpersonal skills suitable for both technical and non-technical stakeholders, including the Board.

• Capacity to work autonomously, lead a team, and collaborate effectively across various departments and locations.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and continuous learning.

• Comprehensive health and wellness programs.

• Flexible working arrangements.

• Supportive and inclusive work environment.