Director, AI Engineer (APAC AI Hub)

3 days ago

Singapore, SingaporeStaff+

Responsibilities

Set technical direction and influence architecture, design, and implementation for complex AI products, platform capabilities, and reusable engineering components.
Lead end-to-end development of production-grade solutions using large language models, retrieval-augmented generation, agentic systems, model integrations, and applied AI technologies.
Develop scalable services, APIs, integrations, context pipelines, developer tools, and enterprise application components for the AI platform.
Translate regional business requirements into sustainable architectures aligned with global AI Hub strategy and enterprise standards.
Establish engineering practices for AI evaluation, MLOps/LLMOps, automated testing, security, privacy, observability, reliability, and responsible AI.
Serve as a senior technical authority for complex architecture, integration, performance, and production issues affecting critical business services.
Partner with Product, Architecture, AI Governance, Risk, Compliance, Cybersecurity, and regional business teams.
Evaluate emerging AI technologies and define implementation strategies that improve productivity and enable reusable capabilities.
Mentor engineers, strengthen technical standards, and grow AI engineering capability across APAC and partner teams.

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent professional experience.
Advanced experience, preferably 12+ years, in applied AI/ML, software engineering, platform engineering, or related disciplines.
Demonstrated experience establishing technical direction and building scalable, production-grade AI products, platforms, or shared enterprise capabilities.
Deep understanding of LLMs, agentic systems, retrieval-augmented generation, prompt engineering, session context management, fine-tuning, model evaluation, guardrails, and MLOps/LLMOps.
Extensive experience with backend services, APIs, distributed systems, integrations, cloud-native architectures, containers, and automated delivery pipelines.
Strong understanding of enterprise architecture, security, privacy, operational resilience, software quality, technical-debt management, and responsible AI practices.
Ability to resolve highly complex technical problems, influence senior stakeholders, and communicate technical strategies to technical and business audiences.
Experience working across regional and global teams in a matrixed organization across multiple time zones.
Experience in banking, financial services, or another regulated industry is strongly preferred.
An advanced degree is beneficial.

The role is based in Singapore and supports regional teams across APAC and the global AI Hub.

10,000+ employees