Plan and work with rail operators and LTA divisions and experts to manage the harmonisation, development and upkeep of training standards, competency and curricula frameworks
Design and implement multi-step agentic AI workflows: agent orchestration (single-agent and multi-agent coordination), tool-calling architectures, memory and state management, and planning and reasoning loops using frameworks such as LangGraph, AutoGen, or custom orchestration.
Drive Holistic Onboarding: Coordinate and execute the onboarding journey for retail frontline staff and corporate executive-level new hires. You will partner with Operations Management to ensure the "Buddy System" is effectively implemented at the store level for seamless integration.
Collaborate: Work with teams across the business to identify learning needs, gather subject matter expertise, and facilitate structured learning initiatives.
Lead the design of end-to-end Enterprise Decision Management (EDM) architectures — connecting data ingestion, predictive model scoring, business rule execution, decision optimisation, and outcome measurement into coherent, production-grade decision services.
Support standards development in Committees F45, F48, and F50: draft and review technical content for work items, contribute to task groups, coordinate research-to-standards projects, and track ballots and committee actions relevant to the region.
Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.
Lead the design, fine-tuning, and deployment of Generative AI frameworks, including Retrieval-Augmented Generation (RAG), Vector Databases, and Agentic AI workflows.