Lead the design of enterprise-scale AI, machine learning and Generative AI architectures, including LLM-based applications, Retrieval-Augmented Generation (RAG), AI agents and intelligent automation.
Build data connectors: Design and ship robust connectors that ingest content from enterprise sources — cloud storage, CRMs, ticketing systems, document stores, databases, and web/APIs.
Drive end-to-end program execution for HAI Data Operations, including roadmap development, prioritization, planning, milestone tracking, dependency management, and risk mitigation.
Partner with global and regional leaders to identify, assess, and prioritize AI opportunities across commerce, stores, customer service, supply chain, and corporate functions.
Lead Lorong AI's strategy and operations. Own the day-to-day management of Lorong AI, including its physical space, community experience, programmes and team. Set priorities, establish effective processes and ensure consistently high-quality execution.
Drive end-to-end program execution for HAI Data Operations, including roadmap development, prioritization, planning, milestone tracking, dependency management, and risk mitigation.
Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment.
Lead end-to-end delivery of Responsible AI and enterprise AI initiatives, ensuring projects are delivered within approved scope, budget, and timelines.
Respond to Customer Inquiries: Handle inbound customer inquiries via phone, email, live chat, and other supported channels in a timely and professional manner.
Lead and manage the full accreditation lifecycle for AI testing service providers, including application review, technical evaluation, accreditation decisions, and annual renewals.
Own well-scoped product features under a Product Manager’s guidance. Translate user needs into clear product requirements, business rules, user flows, and acceptance criteria.
Own well-scoped product features under a Product Manager’s guidance. Translate user needs into clear product requirements, business rules, user flows, and acceptance criteria.
Design and conduct systematic red-teaming and risk assessments of GenAI and multi-agent systems, covering adversarial attacks, hallucinations, privacy leakage and performance across diverse scenarios
About DayosDayos is the AI-first version of the systems integrators and application management firms that have supported enterprise ERPs for decades. We're building this company in Singapore, for the long term.
Lead Lorong AI's strategy and operations. Own the day-to-day management of Lorong AI, including its physical space, community experience, programmes and team. Set priorities, establish effective processes and ensure consistently high-quality execution
Support the end-to-end delivery of AI, data and analytics projects, from understanding business requirements through solution design, development and implementation.
Lead the design of enterprise-scale AI, machine learning and Generative AI architectures, including LLM-based applications, Retrieval-Augmented Generation (RAG), AI agents and intelligent automation.