Global Head of AI Rapidly growing consumer tech firmMandarin professional working level proficiency HSK 5 and above is required due to frequent communication with North Asian stakeholdersLocation Singapore Fully RemoteAbout 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 AInative products Large language models Agentic AI Intelligent automation AI infrastructure Nextgeneration customer experiences This role offers the opportunity to Define AI strategy at a global scale Build worldclass AI organizations Drive measurable business outcomes through productiongrade AI systems The ideal candidate will have strong technical depth commercial acumen and proven experience leading largescale AI organizations within consumer technology fintech internet ecommerce gaming marketplace social media superapp or other largescale digital ecosystemsResponsibilitiesAI Strategy amp Organizational Leadership Define and execute the companys global AI vision strategy and longterm technology roadmap Partner with executive leadership to identify highimpact AI opportunities across products customer experiences operations growth and platform capabilities Build scale and lead a worldclass 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 scalabilityRecommendation Search amp 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 reranking algorithms User intent modelling Realtime decisioning systems Feedback loop optimization Experimentation platforms Lifecycle engagement and retention frameworksGenerative AI amp Agentic AI Drive the next generation of AIpowered capabilities including Large Language Model LLM applications Enterprise AI assistants Conversational AI experiences Agentic AI workflows Multiagent systems Enterprise knowledge platforms RAGbased solutions AI copilots Intelligent automation systems AIenhanced operational toolingAI Platform amp 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 bestinclass MLOps AI Operations and AI Engineering practices Drive adoption of AInative software development workflows and engineering productivity toolingBusiness Impact amp 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 AIenabled products Accelerate innovation through AInative capabilities Translate AI investments into measurable business outcomesRequirementsRequired Bachelors 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 largescale 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 productiongrade 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 impactLeadership amp Organizational Scale Mandatory Demonstrated experience leading largescale AI Machine Learning Data Science or Applied AI organizations within global technology companies Experience managing managers and leaders Proven track record leading multilayered 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 50100 person organizat
Visit
Careersaas to find millions of new and unfilled roles, including thousands of remote and hybrid positions.
