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Head of AI
Job Description & How to Apply Below
Head of AI – Global Fin Tech
Location:
Abu Dhabi, UAE
Full Relocation Support Provided
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.
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.
- 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.
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