AI Governance Framework: Establish and chair the enterprise AI Governance Committee, defining decision rights, approval workflows, risk classification, intake processes and incident response protocols.
We are seeking a highly skilled AI Solutions Engineer to join our team in Singapore. In this role, you will be responsible for designing, developing, and implementing cutting-edge AI solutions to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI models into real-world applications, ensuring scalability, efficiency, and business impact.
Platform Operations and Reliability: Manage platform settings, environments and integrations; test and approve supplier updates before deployment; and lead technical recovery when issues arise.
AI Strategy & Roadmap: Partner with business leaders to prioritise AI agents and reusable building blocks based on business value and readiness. Maintain a group-wide roadmap, eliminate duplicated efforts and ensure each agent has a clear business owner and measurable outcome.
Product Vision & Strategy: Define the product vision, strategic direction and problem statements for AI-enabled digital platforms, ensuring alignment with organisational priorities and user needs.
Design the product experience: Create user flows, wireframes, prototypes and high-fidelity designs for Quake’s core platform, with a focus on making complex AI-powered recruitment workflows simple and effective for recruiters.
Enterprise Blueprints & Roadmaps: Define and maintain the target-state Data & AI architecture (e.g., data mesh/lakehouse, streaming, analytics, MLOps, metadata/lineage) and domain roadmaps aligned to business strategy and regulatory obligations.
Lead the AI organization across AI, Machine Learning Solutions, Machine Learning Engineering, Machine Learning Operations and related platform or product-facing capabilities.
AI Project Collaboration: Collaborate with experienced AI engineers and data scientists on projects involving Machine Learning, Deep Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, Conversational AI, and AI Inference.
Lead the Development of Enterprise AI Agents Design, build, and deploy production-ready AI agents and multi-agent systems that automate complex business processes, augment decision-making, and deliver measurable operational impact across Finance and related business functions.
Drive AI innovation in the area of Urban Solutions and Sustainability, particularly in the Sustainable HVACs domain, focusing on AI-enabled features for enhanced user comfort, wellbeing, and indoor air quality.
Fresh grads or final year students in Computer Science, Engineering, Data Science or related field. Candidates from other backgrounds with strong hands-on AI projects are welcome.