Head of AI
Listed on 2026-06-22
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Artificial Intelligence
Head of AI – Global Fin Tech
Location:
Abu Dhabi, UAE
Full Relocation Support Provided
OverviewA rapidly scaling global Fin Tech platform is seeking a Head of AI to lead the development of next-generation AI-powered products, intelligent automation, recommendation systems, and AI-native engineering capabilities. The company operates a large-scale, real-time financial platform serving tens of millions of users across more than 150 markets and regions, with billions in daily transaction activity. The organization is investing heavily in AI as a strategic pillar to enhance customer experience, platform intelligence, automation, and developer productivity.
This is a high-impact leadership role for an individual eager to shape AI strategy and architecture on a global scale, addressing complex real-world challenges in recommendation systems, LLM applications, AI infrastructure, and intelligent automation.
Responsibilities- Define and execute the company’s AI vision, roadmap, and technical strategy across multiple AI domains.
- Lead and scale a high-performing AI engineering and algorithms team.
- Drive the development of AI-powered capabilities, including:
Large Language Models (LLMs), Intelligent customer interaction systems, Personalized recommendation systems, AI-native engineering productivity initiatives. - Build scalable AI platforms, reusable infrastructure, and production-grade ML systems.
- Lead deployment of recommendation and personalization pipelines, including:
Retrieval, Ranking, Re-ranking, Recommendation optimization. - Architect and product ionize LLM-powered applications leveraging:
Retrieval-Augmented Generation (RAG), Fine-tuning, Agent frameworks, Multi-modal AI workflows, Enterprise knowledge systems. - Collaborate closely with product, engineering, and business leadership to align AI investments with measurable business impact.
- Foster a strong engineering culture, technical standards, and talent development practices within the AI organization.
- Stay ahead of emerging trends in generative AI, AI infrastructure, developer tooling, and applied AI systems.
- Bachelor's degree or above in Computer Science, Mathematics, Statistics, or related disciplines; advanced degrees preferred.
- 8+ years of experience in AI/ML engineering, with prior experience leading technical teams or large-scale AI initiatives.
- Proven experience deploying AI systems into production at scale.
- Strong hands-on experience with recommendation systems, including:
Retrieval, Ranking, Re-ranking, Personalization systems. - Deep practical experience building and deploying LLM applications, including:
Prompt engineering, Retrieval-Augmented Generation (RAG), Fine-tuning, Agent workflows, AI evaluation frameworks. - Experience building enterprise-grade AI knowledge systems and scalable AI infrastructure.
- Strong business and product understanding, with the ability to translate AI capabilities into measurable operational impact.
- Excellent communication and stakeholder management skills.
- Experience with leading global technology companies, large-scale consumer platforms, or AI-native organizations.
- Experience building AI platforms, MLOps ecosystems, or internal AI infrastructure frameworks.
- Familiarity with AI coding assistants and AI-native engineering workflows.
- Mandarin Chinese language capability (Professional working proficiency) is highly preferred, as the role involves frequent collaboration with regional stakeholders and engineering teams across APAC.
- Opportunity to shape AI strategy at a global scale.
- High visibility with executive leadership.
- Tackle large-scale, real-world AI deployment challenges.
- Work in an international engineering environment.
- Full relocation support provided.
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