patterns, and technical standards across the platform, with a particular focus on production‐grade AI and RAG systems, data architecture, integrations, security, and Azure cloud infrastructure. Success will require strong architectural judgement and hands‐on engineering expertise to create solutions that are scalable, secure, cost‐effective, and built … designing and building production AI/LLM architectures, including RAG, retrieval, agentic workflows, evaluation, guardrails, and AI integrations. Extensive cloud architecture experience, ideally Azure, spanning networking, identity, security, infrastructure, deployment, and cost optimisation. Deep data and integration architecture expertise, including data modelling, lakehouse/warehouse architectures, data quality ...