Lead the design, fine-tuning, and deployment of Generative AI frameworks, including Retrieval-Augmented Generation (RAG), Vector Databases, and Agentic AI workflows.
Advise AWS customers on how to increase their speed of AI innovation, the efficiency of their IT, and the business value their technology generates by adopting cloud technology from a people, process and technology perspective.
Support the development and execution of the Regional People AI transformation agenda, identifying opportunities to improve productivity, employee experience, quality, cost, and risk.
Please include a portfolio link or 2–3 examples of your writing, social posts, designs or videos in your CV. Tell us briefly about an IT or AI topic you would enjoy explaining to a business audience.
Transforming Hyperscale Power into Useful AI: We take the extreme complexity of gigawatt-scale energy grids, liquid-cooled data center topologies, and low-latency networking fabrics, and turn that raw physical power into accessible, high-performance AI Cloud that directly drives real-world intelligence.
Transforming Hyperscale Power into Useful AI: We take the extreme complexity of gigawatt-scale energy grids, liquid-cooled data center topologies, and low-latency networking fabrics, and turn that raw physical power into accessible, high-performance AI Cloud that directly drives real-world intelligence.
Drive end-to-end business analysis across data management, Microsoft Azure-based data services, analytics, Power BI and Gen AI initiatives, translating business needs into clear and actionable requirements that enable successful delivery.
Develop and lead the regional communications strategy for Meta's AI and innovation portfolio across APAC, aligning with global narratives while adapting for local market context and audience priorities
Drive the scope, roadmap, architecture and end-to-end delivery of SGGC's AI transformation, digital product, workflow automation and technology platform capabilities, including the identification and prioritisation of practical AI use cases, translating them into deliverable solutions with clear adoption, governance and impact considerations.
Lead a four-member specialist team covering AI model governance, model validation, AI testing / QA / evaluations, and AI engineering for governance validation.
Partner with the CCO and Commercial leadership to identify, prioritise and deliver high-impact data/AI use cases across distribution, marketing, customer, operations and corporate functions.
Support the development and execution of the Regional People AI transformation agenda, identifying opportunities to improve productivity, employee experience, quality, cost, and risk.