Role SummaryAs an AI Engineer, you will design, implement, and productionise behavioural learning systems that integrate directly into our digital products and workflows. You will focus on turning advanced behavioural, sequential, and causal AI models into reliable, scalable, maintainable production systems that power Digital Twins, agentic decision engines, and intelligent automation across our digital suite. This role bridges model development and real world implementation. You will work hands on with software engineers, ML engineers, and product teams to ensure behavioural intelligence is embedded end to end from data pipelines and inference services through to live product decisioning and monitoring.Role Accountabilities Design, implement, and deploy AI models that predict, optimise, or automate decision-making within production digital workflows. Translate behavioural and sequential modelling approaches (e.g. sequence prediction, intent modelling, imitation learning) into robust, production-ready systems. Build and maintain end-to-end AI pipelines, including data ingestion, feature engineering, model training, inference, and monitoring. Apply causal inference techniques to evaluate the real-world impact of AI-driven decisions and support data-informed product changes. Integrate AI services into existing platforms via APIs, microservices, and event-driven architectures in close collaboration with engineering teams. Partner with product and platform teams to ensure AI ..... full job details .....