Senior Individual Contributor - AI Architecture (Agentic Framework, LLM Orchestration and RAG Design)

We are looking for a Senior Individual Contributor to design AI solution architectures for our AI Engineering team. You will own LLM orchestration patterns, agent design, RAG and retrieval boundary patterns, embedding security, and API security for AI services. You will validate the agentic framework design before it is handed to Engineering.

The AI ML and Cloud Security team is transforming security at GSK by designing and building an agentic framework, a multi-agent platform that moves security services from rule-based to AI-driven operation.

Key responsibilities:

• 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 certification.
• 8-12 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.
• Assessing new AI tool proposals from the business use-case pipeline against binding AI security standards.
• Producing architecture specifications detailed enough that engineering builds without rework or reinterpretation.

Preferred Qualifications:

• AI architecture reference pattern library and architecture governance.
• EU AI Act alignment and AI regulatory requirements in a regulated industry.
• Azure OpenAI and Vertex AI private endpoint and customer-managed-key patterns.
• 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.