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Head of AI

Job in Abu Dhabi, UAE/Dubai
Listing for: Applied Intelligence Consulting (Singapore)
Full Time position
Listed on 2026-06-22
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Artificial Intelligence
Salary/Wage Range or Industry Benchmark: 500000 - 700000 AED Yearly AED 500000.00 700000.00 YEAR
Job Description & How to Apply Below

Head of AI – Global Fin Tech

Location:

Abu Dhabi, UAE

Full Relocation Support Provided

Overview

A 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.
Requirements
  • 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.
Preferred
  • 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.
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.
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