Senior Principal Architect - AI ML and Cloud Security - AI Architecture

Job description

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 Architecture (agentic framework, LLM orchestration and RAG design) as a senior individual contributor at enterprise scale. Job Purpose: Senior individual contributor designing the AI solution architectures that AI Engineering builds. You own LLM orchestration patterns, agent design, RAG and retrieval boundary patterns, embedding security and API security for AI services, and you validate the agentic framework design before it is handed to Engineering. 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. A pure architecture role with no line management and real design authority: your specifications are what Engineering builds from, and if they are ambiguous the build is wrong. You will be asked to whiteboard an agentic or RAG architecture you designed, including how you handled prompt injection and data classification across a retrieval boundary. Familiarity with reference architectures, without designs that were actually built and operated, will not get through that conversation. Key responsibilities: This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following: Design AI solution architectures: LLM orchestration patterns, agent design, RAG and retrieval boundary patterns, embedding security, and API security for AI services. Validate the agentic framework design before handoff to Engineering and confirm it is buildable, testable and operable. Author the pattern library entries for LLM orchestration, retrieval boundaries and tool-calling scopes that engineering teams build from. Lead architecture reviews for new AI tool proposals and assess them against Cyber Architecture and Solutions standards. Contribute to the data fabric architecture and the controls applied at each classification boundary. Produce specifications detailed enough that Engineering builds without reinterpretation. Apply the binding AI security standards and threat models to every design, escalating where a design cannot meet them rather than diluting them. Support use-case feasibility assessment for business and R&D proposals. Sit in the agentic framework build stand-ups and answer design questions the same day, so the build never stalls on an absent architect. Review the agent and RAG designs produced by the other architects and sign them off or send them back; you are the technical second opinion in a team with no line management. Lead your team in using approved AI tools to improve productivity and ways of working, role-modelling responsible use and follow GSK's Responsible AI, privacy and security requirements. Own the AI architecture target state and the roadmap towards it for the domain, keeping it current as the agentic framework and the data fabric evolve. Apply GxP and data integrity requirements to AI designs, so validated systems and the evidence they depend on are not disturbed by an AI capability. Basic Qualifications: 15+ years in security or solution architecture with a recognised architecture certification8-12 years in security or solution architecture — domain focus: AI Architecture (agentic framework, LLM orchestration and RAG design) as a senior individual contributor at enterprise scale Agentic framework architecture — agent design patterns, LLM orchestration, RAG and retrieval boundaries, trust boundaries, tool-calling scopes and human-in-the-loop controls, validated as buildable, testable and operable before handoff AI threat modelling and secure AI data flow design — vector store access control, classification, and AI-specific threats (indirect prompt injection, training-data poisoning, model extraction, insecure output handling, excessive agency; OWASP LLM Top 10, MITRE ATLAS) Assessing new AI tool proposals from the business use-case pipeline against binding AI security standards — model provenance, data residency, classification and third-party risk Producing architecture specifications detailed enough that engineering builds without rework or reinterpretation — design authority only, with build and assurance owned elsewhere Preferred Qualifications: AI architecture reference pattern library and architecture governance, with Engineering and the vendor building against it EU AI Act alignment and AI regulatory requirements in a regulated industry Azure OpenAI and Vertex AI private endpoint and customer-managed-key patterns, and the network designs that keep an inference call inside the EU. Experience of designs handed to a third party to operate Cloud AI services architecture — Azure OpenAI, Vertex AI and private model hosting patterns Recognised architecture certification such as SABSA or TOGAF Qualifications: Bachelor's degree in a relevant discipline, or equivalent professional experience. Typical tools and technologies: LLM orchestration patterns in LangChain, LangGraph and LlamaIndex, RAG and retrieval boundary design, embedding and vector store security across pgvector, Pinecone and Weaviate, API security for AI services, model gateways such as LiteLLM, prompt and context isolation patterns, MITRE ATLAS, OWASP Top 10 for LLM Applications, architecture specification and pattern libraries. #AGTech Skills AI Agent Security, AI for Cybersecurity, Application Security, Architecture Governance, Cloud Security, Computer Programming, Cybersecurity, Data Security, Governance Framework, Identity Access Management (IAM), Information Systems, Infrastructure Security, ML Security, Operating Systems Security, Scripting, Security Engineering, Security Technologies, Security Testing, Threat Modeling for AI Systems, Vulnerability Management Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters mos