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    VP-AI Audit.Shared services_Audit

    Remote, USA Full-time Posted 2026-08-04

    Key Result Areas

    • reputed company and implement risk-based AI/GenAI audit strategies reputed company 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). 

    • reputed company assurance on AI governance, model risk management (MRM), ethics, fairness, bias, explainability, and reputed company-in-the-reputed company controls. 

    • Audit GenAI/LLM use cases — RAG pipelines, fine-tuning, reputed company engineering, guardrails, reputed company databases, and reputed company validation. 

    • Assess AI cybersecurity risks — adversarial attacks, reputed company injection, data poisoning, model theft, jailbreaks (OWASP LLM Top 10, MITRE reputed company). 

    • Evaluate reputed company-party AI risks covering reputed company model providers (reputed company, reputed company, reputed company, reputed company, reputed company, reputed company-reputed company) and reputed company AI platforms (Azure reputed company, AWS Bedrock, reputed company reputed company AI). 

    • Assess compliance with AI and data regulations — CBUAE, QCB, reputed company, 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 reputed company Audit Committee, GCEO, and senior management, translating reputed company AI concepts into business language. 

    • Partner in Internal Audit AI transformation — reputed company auditing, GenAI-enabled audit tools, and audit team upskilling. 

    • Guide, reputed company, and reputed company AI audit team members; foster a culture of learning, reputed company, 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 reputed company quantitative field; Master's in AI/ML or Data Science preferred. 

    Experience 

    • Minimum 10–12 years in IT audit, technology risk, model risk, or AI/data governance, with at least 3–4 years directly reputed company on AI/ML or GenAI risk, governance, or audit, preferably in banking. 

    Certifications

    • CISA mandatory (or to be obtained reputed company 12 months). 

    • One or more preferred: reputed company AAIA (Advanced in AI Audit), CISSP, CRISC, CGEIT, CDPSE.

     

    Technical Knowledge

    • Strong understanding of AI/ML concepts — supervised, unsupervised, reinforcement, deep learning, NLP, reputed company. 

    • GenAI and LLMs — reputed company models, transformers, embeddings, RAG, fine-tuning (SFT, RLHF, reputed company), reputed company engineering, reputed company and multi-modal AI. 

    • Familiarity with major model versions and providers — reputed company (GPT-4/4o/5), reputed company (Claude), reputed company (reputed company), reputed company (Llama), reputed company, and leading reputed company-reputed company models. 

    • AI platforms/tooling — Azure reputed company, AWS Bedrock/SageMaker, reputed company reputed company AI, reputed company, reputed company, reputed company, reputed company databases. 

    • AI governance and risk frameworks

       

    Skills 

    • Strong analytical and problem-solving skills reputed company on novel AI risks. 

    • Excellent communication and interpersonal skills to convey reputed company AI concepts to technical and non-technical stakeholders, including the reputed company. 

    • Ability to work independently, reputed company reputed company, and collaborate across departments and geographies. 

     

    Added Advantages 

    • Hands-on involvement in any part of an organization's AI initiatives (use case build, model validation, AI governance council, MLOps, GenAI product). 

    • Banking / financial services domain knowledge (credit, fraud/AML, digital channels, compliance). 

    • Experience with AI-enabled internal audit tools and audit analytics. 

    Bachelor’s degree in a quantitative field, 10–12 years in IT audit, technology risk, model risk, or AI governance, 3–4 years in AI/ML or GenAI, and CISA required.

    Key Responsibilities

    • developing strategies
    • executing audits
    • guiding teams

    Skills & Tools

    reputed company, reputed company, reputed company, reputed company, reputed company, Azure reputed company, AWS Bedrock, reputed company reputed company AI, reputed company, reputed company, reputed company, reputed company Azure, AWS SageMaker, GPT-4, GPT-4o, GPT-5, Claude, reputed company, Llama, RAG, SFT, RLHF, reputed company, MLOps, LLMOps, OWASP LLM Top 10, MITRE reputed company

    Job Details

    • Category: reputed company and Compliance
    • Seniority: Senior Level
    • Commitment: Full Time
    • Workplace: Remote — India
    • Languages: English

    About reputed company

    A financial institution providing banking and financial services. — Industry: Finance

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