Associate Director - AI ML and Cloud Security - AI Platform Engineering

GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centred on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems. Our diverse portfolio consists of vaccines, specialty medicines, and general medicines. Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges. Domain focus: AI Platform Engineering and cloud security posture across Azure and GCP. Job Purpose: Build and own the AI and ML platform infrastructure for Cyber Architecture and Solutions, and lead engineering delivery of the data fabric pipeline. You translate AI Architecture's data fabric design into built, tested and vendor-ready infrastructure. The design is owned by Architecture, this role builds it, and the vendor operates it once delivered. About the team: AI ML and Cloud Security is the function through which GSK is transforming security itself. The team designs and builds the agentic framework, a multi-agent platform moving security services across the Chief Security Office from rule-based to AI-driven operation. It owns AI architecture and AI engineering end to end: the agent layer, LLM orchestration, the AI and ML platform, and the data fabric pipeline that Cyber Architecture and Solutions designs, builds and tests before a managed service vendor operates it. The team also governs AI tool security posture, advises on cloud security across the Azure and GCP estate, and is the front door between GSK's business units and R&D and the technical AI function. AI security standards set here are binding on every AI initiative in GSK. Seventeen roles across the UK, India and the US. What makes this role different. Infrastructure and data engineering rather than model or agent work. You will own Kubernetes and container orchestration, CI/CD for AI and ML workloads, and the data ingestion and transformation layers beneath the data fabric. The handover standard is the thing that matters: a vendor will operate this pipeline without you, so documentation and test evidence are part of the deliverable. If you want to be building agents, that is a different post in this team. Key responsibilities: This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following: Own the AKS and GKE clusters, GPU node pools and model-serving tier that every Cyber Architecture and Solutions agent runs on, including capacity, upgrade and resilience planning.