Job Description

Full job descriptionThe Focus Group Sandton, South Africa 09 December 2025 Senior 0 - 0 Full Time Cost to Company 12 years - 15 years Skills Big Data CI/CD Cloud Architecture Data Engineering Infrastructure Engineering Kubernetes Machine Learning Python Solutions Architecture SQL Industries Financial Services Job DescriptionCompany SummaryA leading JSE-listed financial services company is committed to improving people’s lives and delivering forward-thinking innovations across the healthcare and financial ecosystem. The organisation thrives on curiosity, high performance, and the pursuit of meaningful change. It offers a dynamic environment where exceptional talent collaborates to create solutions with long-term impact.About the Group Data Science TeamThe Group Data Science Team is expanding and plays a central role in shaping digital, clinical, wellness and behavioural solutions across the business. The team works with large-scale structured and unstructured data on modern cloud and big-data architectures, collaborating with global partners and academic institutions to develop high-impact AI solutions. With a future-fit platform and a focus on new data opportunities, the team builds scalable, production-ready systems that support strategic business priorities. The AI Enablement team is the engineering engine that transforms cutting-edge data science into tangible value for our members and business. We bridge experimental AI and robust, enterprise-scale production systems, enabling scalable, reliable, and efficient AI solutions.Key Purpose of the roleThe AI Lead is responsible for translating cutting-edge data science into robust, scalable production systems. This role leads a multidisciplinary team focused on the productionisation of machine learning and LLM models, ensuring operational excellence, technical innovation, and strategic alignment with business goals. Success in this position requires architecting and implementing production-grade systems that are scalable, maintainable, resilient, and integrated with existing production systems.