Senior AI Engineer

The AI Engineer is a forward-deployed, hands-on technical role focused on developing, deploying, and maintaining machine learning and AI solutions that deliver measurable business value across the organization. This is not a back-office engineering position; the role requires close engagement with business teams, senior stakeholders, analysts, IT, and operational functions to understand real business problems, shape solution options, and translate them into production-ready data and AI capabilities. Working within the architecture and technical standards set by the Principal ML Platform Engineer, this role takes use cases from problem definition through to production: building and training models, developing the data pipelines that support them, and deploying them as reliable, monitored services. With practical experience in machine learning, advanced analytics, and Generative AI, including Large Language Models (LLMs) and agent-based frameworks, this engineer combines engineering discipline with strong communication, structured problem-solving, and consulting-style delivery to create scalable solutions with clear business impact. Alongside this specialism, every engineer in the Strategy and Data team is expected to own use cases end-to-end, taking them from problem definition through to a deployed, adopted solution. Responsibilities and Duties Develop, train, evaluate, and deploy machine learning models that address business problems across claims, network, operations, finance, and client functions.