Vice President, AI Engineer (APAC AI Hub)

3 days ago

Singapore, SingaporeStaff+

Responsibilities

Design, develop, test, deploy, and support AI applications, services, and reusable platform components across the software development lifecycle.
Build LLM applications, retrieval-augmented generation solutions, agentic workflows, model API integrations, prompt-engineering solutions, context pipelines, and automation.
Develop backend services, APIs, integrations, and platform capabilities for enterprise AI products.
Translate business and product requirements into clear technical solutions with cross-functional stakeholders.
Evaluate models and AI solutions, analyze performance and quality results, and recommend improvements to models, prompts, workflows, and application designs.
Write efficient, testable code; participate in code reviews; and maintain technical documentation.
Build automated tests and deployment pipelines, troubleshoot defects and production issues, and support operational readiness and reliability.
Apply security, privacy, model risk, responsible AI, change management, and software quality standards throughout delivery.
Manage technical debt, identify reuse opportunities, and improve engineering methods, tools, and platform capabilities.
Mentor less-experienced engineers and contribute to shared technical practices across the APAC AI Hub.

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent professional experience.
Preferably 7+ years of experience in software engineering, applied AI/ML, platform development, or a related technical discipline.
Experience building and supporting production applications, backend services, APIs, integrations, or cloud-based platforms.
Practical experience with LLM applications, retrieval-augmented generation, prompt engineering, session context management, model APIs, AI agents, evaluation methods, or related AI technologies.
Strong programming skills, preferably in Python and one or more modern backend or cloud-native development frameworks.
Knowledge of software architecture, automated testing, source control, containers, monitoring, security, and production-support practices.
Ability to analyze complex requirements, troubleshoot technical problems, and deliver secure, testable, maintainable software.
Strong collaboration and communication skills across APAC and global teams.
Experience in banking, financial services, or another regulated environment is a plus.

10,000+ employees