# Global Head of AI > Fuku · Singapore, Singapore · Full-time · Posted 2026-06-01 **Workplace:** on_site ## Description Global Head of AI (Rapidly growing consumer tech firm) \*Mandarin professional working level proficiency (HSK 5 and above) is required due to frequent communication with North Asian stakeholders Location \- Singapore (Fully Remote) About the Company \- A rapidly scaling global technology platform serving millions of users across international markets. \- The company is investing heavily in: \- Recommendation systems \- Personalization engines \- AI-native products \- Large language models \- Agentic AI \- Intelligent automation \- AI infrastructure \- Next-generation customer experiences \- This role offers the opportunity to: \- Define AI strategy at a global scale \- Build world-class AI organizations \- Drive measurable business outcomes through production-grade AI systems \- The ideal candidate will have strong technical depth, commercial acumen, and proven experience leading large-scale AI organizations within consumer technology, fintech, internet, e-commerce, gaming, marketplace, social media, super-app, or other large-scale digital ecosystems. Responsibilities AI Strategy & Organizational Leadership \- Define and execute the company’s global AI vision, strategy, and long-term technology roadmap. \- Partner with executive leadership to identify high-impact AI opportunities across products, customer experiences, operations, growth, and platform capabilities. \- Build, scale, and lead a world-class AI organization spanning: \- AI Engineering \- Machine Learning Engineering \- Data Science \- Applied Research \- AI Product \- Platform Engineering \- Drive AI adoption across the organization, ensuring alignment with business objectives and measurable commercial outcomes. \- Establish engineering excellence, governance frameworks, responsible AI practices, security standards, and operational scalability. Recommendation, Search & Personalization \- Lead the development of intelligent systems powering user engagement, customer experiences, and business growth, including: \- Recommendation systems \- Personalization engines \- Search and discovery platforms \- Retrieval systems \- Ranking and re-ranking algorithms \- User intent modelling \- Real-time decisioning systems \- Feedback loop optimization \- Experimentation platforms \- Lifecycle engagement and retention frameworks Generative AI & Agentic AI \- Drive the next generation of AI-powered capabilities, including: \- Large Language Model (LLM) applications \- Enterprise AI assistants \- Conversational AI experiences \- Agentic AI workflows \- Multi-agent systems \- Enterprise knowledge platforms \- RAG-based solutions \- AI copilots \- Intelligent automation systems \- AI-enhanced operational tooling AI Platform & Infrastructure \- Develop scalable AI infrastructure supporting model training, deployment, evaluation, monitoring, governance, and lifecycle management. \- Build reusable AI services and platform capabilities to accelerate AI adoption across the organization. \- Establish best-in-class MLOps, AI Operations, and AI Engineering practices. \- Drive adoption of AI-native software development workflows and engineering productivity tooling. Business Impact & Product Innovation \- Partner with Product, Engineering, Operations, Commercial, Customer Experience, and Executive Leadership teams to: \- Improve user engagement and retention \- Enhance customer experiences through personalization \- Drive intelligent automation and operational efficiency \- Unlock new revenue opportunities through AI-enabled products \- Accelerate innovation through AI-native capabilities \- Translate AI investments into measurable business outcomes Requirements Required \- Bachelor’s Degree or above in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Engineering, or related disciplines. \- 10+ years of experience within Artificial Intelligence, Machine Learning, Data Science, Applied AI Engineering, or related fields. \- Proven experience deploying AI systems into large-scale production environments serving millions of users. \- Deep expertise in recommendation systems, personalization, search, ranking, intelligent decisioning, or related AI domains. \- Strong experience building and deploying production-grade LLM applications and modern AI workflows. \- Experience designing scalable AI platforms, MLOps ecosystems, AI infrastructure, or enterprise AI tooling. \- Strong product mindset and demonstrated ability to connect AI initiatives to measurable business impact. Leadership & Organizational Scale (Mandatory) \- Demonstrated experience leading large-scale AI, Machine Learning, Data Science, or Applied AI organizations within global technology companies. \- Experience managing managers and leaders. \- Proven track record leading multi-layered organizations where multiple team leaders or department heads report directly into the candidate. \- Experience managing organizations comprising multiple independent teams across areas such as AI Engineering, Machine Learning, Data Science, Recommendation Systems, Search, Personalization, Platform Engineering, AI Infrastructure, MLOps, or Applied Research. \- Experience leading organizations of approximately 30+ professionals, with strong preference for candidates who have managed 50-100+ person organizations through a managers-of-managers structure. \- Demonstrated success building organizations from the ground up, scaling teams internationally, and developing future leaders. \- Experience operating at executive leadership level with responsibility for strategy, investment decisions, organizational design, talent planning, and cross-functional alignment. Highly Preferred \- Experience building consumer-facing AI products serving large-scale user ecosystems. \- Background in recommendation systems, personalization, search, growth AI, conversational AI, customer engagement platforms, or intelligent decisioning systems. \- Experience within high-scale consumer internet, fintech, e-commerce, gaming, marketplace, social media, streaming, or super-app environments. \- Experience leading global teams distributed across multiple regions and time zones. \- Experience building AI platforms, AI infrastructure, AI-native development environments, or enterprise AI capabilities. \- Experience operating within fast-paced, high-growth international technology organizations. Language Requirement \- Mandarin Chinese is mandatory due to frequent collaboration with senior stakeholders, product leaders, and engineering teams across Greater China and the broader APAC region. Why Join \- Opportunity to define AI strategy at global scale. \- Executive visibility and significant organizational influence. \- Ownership of large-scale AI, recommendation, personalization, and AI platform initiatives. \- Opportunity to build next-generation AI products used by millions of users globally. \- Fully remote working arrangement based in Singapore. \- Competitive compensation package including cash bonus and long-term incentives. \- Fast-paced, entrepreneurial, and highly international environment. \*Only shortlisted candidates will be contacted due to the volume of applicants. EA Licence No.: 25S3232 EA Personnel Reg. No.: R1874604 EA Personnel Name: Kenneth Ho ## Apply [Apply at Fuku](https://apply.workable.com/fuku/j/1C2776DE0C/apply) --- Powered by [Workable](https://www.workable.com)