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Head of AI

Applied Intelligence Consulting (Singapore)Abu Dhabi, UAETodayMid-Senior
Mid-Seniorfulltime
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Via LinkedIn·

About This Role

Head of AI – Global FinTech

Location: Abu Dhabi, UAE

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+ 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.
  • Unfortunately, due to volume of applicants, only shortlisted candidates will be contacted

EA Licence No.: 25S3232

EA Personnel Reg. No.: R1874604

EA Personnel Name: Kenneth Ho

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