Partner with data scientists and data engineers across Singapore, Australia, Japan, and Emerging Markets to identify and prioritise automation opportunities.
The next leap in AI isn't about getting smarter — it's about becoming yours. Seventy years of AI research keep proving the same thing: general methods win over clever designs. Models are getting stronger. Protocols are converging. Infrastructure is commoditizing. But one layer remains scarce — the layer that makes AI truly yours.
AI-enabled data management: Prototype the use of AI for data profiling, cleansing, classification, matching, enrichment, metadata generation and anomaly detection. Establish appropriate business validation and human oversight.
Human-in-the-Loop: Design workflows that ensure high-stakes AI decisions (like grant recommendations) cannot proceed without explicit, authenticated human approval.
Risk Reporting & Regulatory Coordination: Report technology risks directly to the Director, Group IT, and Board Risk& Audit. Independently assess security incidents, coordinate with regulators and relevant listed or regulated entities, and recommend appropriate risk acceptance decisions.
Evaluate inference engines (vLLM, TensorRT-LLM, Triton Inference Server) and publish recommendations balancing performance, cost, and resilience. Provide hands-on support to agency teams applying these to their workloads.
Research, develop, and deploy next-generation Embodied AI systems that integrate perception, reasoning, planning, and action in real-world environments.
Ensure the products generate insightful, decision-grade outputs, and design them to improve and scale as the team's needs and the underlying context grow.
Owning application delivery and continuous improvement, working closely with business teams to translate requirements into practical solutions, document application designs and troubleshooting guidance, and coordinating with IS teams and vendors on enterprise dependencies.
Develop the conceptual design and solutioning, incorporating a mix of in-house products, outsourced commercially-off-the-shelf products, and/or co-developed capabilities with external stakeholders, that can address the prioritised AI use cases.