Principal Engineer - AI ML and Cloud Security

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 & Cloud Security (CSPM, shadow AI and agent risk tiering across Azure and GCP). Job Purpose: Support the AI Platform and Cloud Security team, which governs AI tool security posture and provides cloud security advisory across Azure and GCP. Hands-on analytical work: the shadow AI register, CSPM analysis, agent risk-tiering, and the findings and reporting the team governs through. 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. Hands-on analytical work in a team that advises and flags but does not remediate — the Azure and GCP platform teams own every fix you identify, so your influence comes from the quality of the finding and your persistence in chasing it, not from authority. You will run CSPM analysis in Prisma Cloud, Wiz or Upwind, maintain the shadow AI register, and apply agent risk-tiering to AI deployments that are moving faster than the governance around them. Comfort with being the person who raises the problem and cannot close it is essential. Key responsibilities: This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following: Run CSPM analysis across Azure and GCP in Prisma Cloud, Wiz or Upwind, and produce findings clear enough for a platform team to act on without a follow-up meeting.