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Head of AI

Applied Intelligence Consulting (Singapore)
San Francisco, CA
Full-time
AI tools:
LLMs
Retrieval-Augmented Generation (RAG)
Applications go directly to the hiring team

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.

Applications go to the hiring team directly