Full Description
Head of AI – Global FinTech Platform
Location: Abu Dhabi, UAE/Kuala Lumpur, Malaysia
Full Relocation Support Provided
Overview
A rapidly scaling global FinTech 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 productionize 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.
Requirements
Required:
* Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or related disciplines; advanced degrees preferred.
* 8-15+ 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.
Preferred
* Experience with leading global technology companies, large-scale consumer platforms, or AI-native organizations, MAANG backgrounds are highly preferred
* 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 is highly preferred, as the role involves frequent collaboration with regional stakeholders and engineering teams across APAC.
Why Join
* 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.