# Associate Director - AI ML and Cloud Security - AI Business at GSK

GSK is hiring an Associate Director - AI ML and Cloud Security - AI Business for a remote role open to applicants in India. Level rates it Works on AI ●●●○; you can [apply on GSK](https://jobsbylevel.com/go/a3f1de3d-ba72-4444-9640-b368336462e2?utm_medium=ai-agent).

AI Level 3, AI centrality 66 out of 100. Remote (Bengaluru Luxor North Tower).

## Details

- Company: [GSK](https://jobsbylevel.com/companies/gsk)
- AI level: AI Level 3 (score 66 out of 100)
- Location: Remote (Bengaluru Luxor North Tower)
- Posted: November 9, 2026
- Apply: https://jobsbylevel.com/go/a3f1de3d-ba72-4444-9640-b368336462e2?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=associate-director-ai-ml-and-cloud-security-ai-business-at-gsk-e8c33f

## Prepare for this job

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## 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 Business Facing (AI use-case intake and governance for business unit portfolios). Job Purpose: Manage AI use-case intake and governance for defined business unit portfolios. You own the use-case pipeline register from intake through triage to handoff, track governance status, and develop the AI governance playbooks that let business teams self-serve rather than queueing for Cyber Architecture and Solutions advice. 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. You own the AI use-case pipeline for a defined set of business unit portfolios end to end — intake, risk and prioritisation scoring, governance status and the handoff to AI Architecture for feasibility. The pipeline register is the single source of truth for what AI the business is building, and it is only as good as your chasing. You will write the AI governance playbooks that let business teams self-serve, and apply EU AI Act classification to proposals from people who have never heard of it. 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 AI use-case intake and governance for defined business unit portfolios — running each proposal to a recorded decision inside an agreed service level. Maintain the use-case pipeline register from intake through triage to handoff, and keep it accurate enough to be the single source of truth. Apply EU AI Act classification and AI risk and prioritisation scoring to each proposal, including for use cases in GxP-validated contexts. Track governance status per use case and chase the architecture, security and Responsible AI decisions that unblock them. Coordinate with AI Architecture on feasibility and with AI Security on model and agent risk assessment. Develop AI governance playbooks — intake criteria, data handling rules and approval routes — that business teams can apply themselves. Run business-side shadow AI discovery alongside the technical discovery programme, and bring findings into the register. Support AI security awareness activity for business leaders and translate technical requirements into language they will act on. Escalate use cases that cannot meet the security standards rather than progressing them informally. Publish the monthly AI portfolio view the Director takes to the Responsible AI council — proposals in flight, decisions overdue, and the

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Source: https://jobsbylevel.com/jobs/associate-director-ai-ml-and-cloud-security-ai-business-at-gsk-e8c33f

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