обновлено 6 дней назад
Responsible AI & AI Governance
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Responsible AI & AI Governance (AI Governance/Responsible AI): Designing and delivering AI governance frameworks, controls, risk assessments, policies, and assurance approaches for enterprise-scale AI adoption with an accent on fairness, transparency, explainability, human oversight, safety, and auditability. Focus on translating governance requirements into technical guardrails, building AI impact assessment and approval workflows, and addressing GenAI risks such as hallucination, prompt injection, data leakage, and unsafe content.
Location: Dubai, United Arab Emirates
Company
is a global business and technology transformation partner delivering strategy, design, engineering, AI, cloud, data, and industry solutions across more than 50 countries.
What you will do
- Design and deliver AI governance frameworks, Responsible AI controls, policies, risk taxonomies, and assurance approaches for enterprise-scale AI adoption.
- Develop AI use-case intake, impact assessment, model inventory, approval workflows, oversight forums, and decision-rights structures.
- Design controls for fairness, transparency, explainability, human oversight, safety, and auditability.
- Translate governance requirements into pragmatic technical guardrails with architects and engineers.
- Support AI Factory governance, sovereign AI, and regulated-sector proposal workstreams.
- Apply governance approaches to agentic systems, including the Agentic Control Plane.
Requirements
- 8–12+ years of experience in AI governance, data governance, risk, compliance, audit, cyber/privacy, or consulting.
- Experience designing governance frameworks or controls for technology, data, AI, or digital programs.
- Exposure to public sector, government, financial services, telecom, energy, or other regulated sectors.
- Ability to translate policy intent into operational processes and controls.
- Knowledge of ISO/IEC 42001, NIST AI RMF, ISO 23894, and model risk concepts.
- Understanding of GenAI risks, including hallucination, prompt injection, data leakage, unsafe content, and human oversight.
Culture & Benefits
- Work within a global business and technology transformation organization.
- Collaborate across strategic, creative, scientific, design, and engineering capabilities.
- Contribute to digital and sustainable transformation initiatives with impact for enterprises and society.
- Work on AI, generative AI, cloud, data, sovereign AI, and regulated-sector engagements.
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