VP-AI Audit.Shared services_Audit

Al Ghurair Investment LLC; India; On-site; INR 4,200,000 - 7,200,000; Full time

Job summary

Al Ghurair Investment LLC in India seeks a senior AI governance and audit professional to lead risk-based GenAI audits and oversight across the AI lifecycle. The role demands deep expertise in AI concepts, governance, and regulatory expectations, with experience in auditing model risk and ethics.

The incumbent will drive audit strategies, coordinate with cross-functional teams, and present findings to senior leadership, including the Board, ensuring effective controls and compliance.

Qualifications

• Bachelor's degree in a quantitative field; master's in AI/ML preferred.
• 10–12 years in IT audit/technology risk with 3–4 years in AI/GenAI risk or governance.
• CISA mandatory within 12 months; ISACA/CISSP etc. preferred.
• Deep knowledge of AI/ML concepts, GenAI/LLMs, and risk governance.

Responsibilities

• Develop and implement risk-based AI/GenAI audit strategies aligned with regulatory expectations.
• Audit AI/ML lifecycle: data sourcing, training, validation, deployment, monitoring, retraining, decommissioning.
• Assess AI governance, MRM, ethics, fairness, bias, explainability, and human-in-the-loop controls.
• Prepare and present audit reports to Board Audit Committee and senior management.

Skills

Analytical skills

Problem solving

Communication

Leadership

Stakeholder management

Education

Bachelor's degree in Computer Science/IT/Data Science/AI/Statistics/Mathematics

Master's in AI/ML or Data Science preferred

Tools

Azure OpenAI

AWS Bedrock

Google Vertex AI

Databricks

Hugging Face

LangChain

Job description

Key Result Areas

• Develop and implementrisk-based AI/GenAI audit strategiesaligned with the Bank's AI agenda and regulatory expectations.
• Execute audits over theAI/ML lifecycle— data sourcing, training, validation, deployment, monitoring, retraining, and decommissioning (MLOps/LLMOps).
• Provide assurance onAI governance, model risk management (MRM), ethics, fairness, bias, explainability, and human-in-the-loop controls.
• AuditGenAI/LLM use cases— RAG pipelines, fine-tuning, prompt engineering, guardrails, vector databases, and output validation.
• AssessAI cybersecurity risks— adversarial attacks, prompt injection, data poisoning, model theft, jailbreaks (OWASP LLM Top 10, MITRE ATLAS).
• Evaluatethird-party AI riskscovering foundation model providers (OpenAI, Anthropic, Google, Meta, Mistral,open-source) and cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI).
• Assess compliance withAI and data regulations— CBUAE, QCB, SBP, RBI,UAE PDPL etc.
• Audit AI use incredit, AML/fraud, KYC, chatbots, personalization, trading, and operations automation.
• Prepare and presentimpactful audit reports to the Board Audit Committee, GCEO, and senior management, translating complex AI concepts into business language.
• Partner inInternal 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 quantitative field; Master's in AI/ML or Data Science preferred.

Experience

• Minimum10–12 years in IT audit, technology risk, model risk, or AI/data governance, with at least 3–4 years directly focused on AI/ML or GenAI risk, governance, or audit, preferably in banking.

Certifications

• CISA mandatory (or to be obtained within 12 months).
• One or more preferred: ISACA AAIA (Advanced in AI Audit), CISSP, CRISC, CGEIT, CDPSE.

Technical Knowledge

• Strong understanding of AI/ML concepts— supervised, unsupervised, reinforcement, deep learning, NLP, computer vision.
• GenAI and LLMs— foundation models, transformers, embeddings, RAG, fine-tuning (SFT, RLHF, LoRA), prompt engineering, agentic and multi-modal AI.
• Familiarity with major model versions and providers— OpenAI (GPT-4/4o/5), Anthropic (Claude), Google (Gemini), Meta (Llama), Mistral, and leading open-source models.
• AI platforms/tooling— Azure OpenAI, AWS Bedrock/SageMaker, Google Vertex AI, Databricks, Hugging Face, LangChain, vector databases.
• AI governance and risk frameworks

Skills

• Strong analytical and problem-solving skills focused on novel AI risks.
• Excellent communication and interpersonal skills to convey complex AI concepts to technical and non-technical stakeholders, including the Board.
• Ability to work independently, lead a team, and collaborate across departments and geographies.

Added Advantages

• Hands‑on involvement in any part of an organization'sAI initiatives(use case build, model validation, AI governance council,MLOps, GenAI product).
• Banking / financial servicesdomain knowledge (credit, fraud/AML, digital channels, compliance).
• Experience withAI-enabled internal audit toolsand audit analytics.