# Principal - AI ML and Cloud Security at GSK

GSK is hiring a Principal - AI ML and Cloud Security for a remote role open to applicants in India. Level rates it Builds AI ●●●●; you can [apply on GSK](https://jobsbylevel.com/go/bcc9b93c-4892-4544-b1e0-b2bbaf682d3a?utm_medium=ai-agent).

AI Level 4, AI centrality 89 out of 100. Remote (Bengaluru Luxor North Tower).

## Details

- Company: [GSK](https://jobsbylevel.com/companies/gsk)
- AI level: AI Level 4 (score 89 out of 100)
- Location: Remote (Bengaluru Luxor North Tower)
- Posted: November 9, 2026
- Apply: https://jobsbylevel.com/go/bcc9b93c-4892-4544-b1e0-b2bbaf682d3a?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=principal-ai-ml-and-cloud-security-at-gsk-b7ef16

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/principal-ai-ml-and-cloud-security-at-gsk-b7ef16

## 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 Engineering (agentic framework build and AI solution engineering); hands-on engineering of complex AI solutions in production, building reusable components, libraries and patterns for agent and platform workstreams. Job Purpose: The deepest hands-on engineering role in AI Engineering. You personally build the most complex AI solutions Cyber Architecture and Solutions delivers, lead the hardest engineering problems in the agentic framework, and develop the reusable components the rest of the team builds on. 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 build role for someone who writes production code every day and wants to keep doing so. Expect a technical interview covering LangChain or LlamaIndex, vector database selection and retrieval tuning, and how you would test an agent whose output is non-deterministic. Tutorial or proof-of-concept exposure will not be enough — we are looking for things you shipped and then maintained. There is no line management in this role, by design. Key responsibilities: This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following: Personally build the most complex AI solutions Cyber Architecture and Solutions delivers, using LangChain, LlamaIndex, vector databases and production Python. Build the shared SDK, evaluation harness and reusable components the agent and platform workstreams both depend on. Lead the hardest engineering problems in the agentic framework build. Develop reusable engineering components, libraries and patterns the wider team builds on. Build to the architecture specification and raise design problems early rather than engineering around them. Write tests and documentation to vendor handover standard. Contribute to CI/CD pipelines and engineering tooling for AI workloads. Integrate agents with Splunk, Microsoft Sentinel, CrowdStrike and ServiceNow — writing and maintaining the connectors, not specifying them. Mentor engineers and review their code properly. Bring one toolchain change a quarter to the team with a working spike and a migration cost, not a recommendation. Use approved AI tools in your day-to-day work to improve your own productivity and your team's ways of working, sharing what works and applying sound judgement, including validating outputs and following GSK's Responsible AI, privacy and security requirements. Design

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/principal-ai-ml-and-cloud-security-at-gsk-b7ef16

Source: https://jobsbylevel.com/jobs/principal-ai-ml-and-cloud-security-at-gsk-b7ef16

## Cite this page

Level. https://jobsbylevel.com/jobs/principal-ai-ml-and-cloud-security-at-gsk-b7ef16.

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