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.

Maintain the shadow AI register and run the discovery scans that populate it, across sanctioned and unsanctioned AI tooling.

Apply agent and model risk-tiering to AI deployments and track each assessment through to a governance decision.

Support LLM and API exposure risk assessments with analysis and evidence, referencing MITRE ATLAS and the OWASP Top 10 for LLM Applications.

Support cloud IAM and entitlement review packs, including CIEM analysis of over-permissioned identities, and track outcomes to closure.

Track remediation owned by the Azure and GCP platform teams and business units, and escalate where it stalls — this team advises and flags, it does not remediate.

Produce KPI data and build Power BI dashboards for cloud and AI security posture, including drift against configuration baselines.

Improve the team's analysis and reporting through automation in Python rather than only running it.

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 and build the automation and tooling that produces the posture, shadow AI and agent risk picture, documenting the trade-offs made rather than only operating what others built.

Mentor junior analysts and engineers on cloud and AI posture work, and review their output before it is relied on.

Apply GxP and data integrity expectations to posture reporting that covers validated systems.

Basic Qualifications:

10+ years in cloud or platform security in a regulated environment — domain focus: AI Platform & Cloud Security (CSPM, shadow AI and agent risk tiering across Azure and GCP)

CSPM analysis across Azure and GCP using Prisma Cloud, Wiz or Upwind — findings platform teams can act on, with remediation they own chased and escalated

Maintaining the shadow AI register populated by discovery programmes — classifying AI tools, copilots and LLM APIs by data exposure and risk — and tracking agent risk-tiering to decision

Analysing LLM and AI API exposure across Azure and GCP — Azure OpenAI, Vertex AI, model endpoints, keys and network exposure — and supporting cloud IAM review packs

Python, SQL or scripting for posture data, producing AI and cloud security KPIs and dashboards with audit-ready accuracy

Preferred Qualifications:

Cloud security certification such as CCSP, AZ-500 or Google Professional Cloud Security Engineer

AI security posture management (AI-SPM) tooling and LLM API risk assessment

Power BI or equivalent dashboarding

Cloud IAM and AI/LLM security awareness

• •Clear written findings and stakeholder communication with platform engineering teams
• •Qualifications: Bachelor's degree in a relevant discipline, or equivalent professional experience.
• •Typical tools and technologies: CSPM platforms including Prisma Cloud, Wiz and Upwind, Azure and GCP native security services, cloud infrastructure entitlement management, container and Kubernetes security, shadow AI discovery tooling, model and agent risk tiering, LLM and API exposure assessment, Python for analysis and automation.

#AGTech

Skills

AI for Cybersecurity, AI Platforms, Application Security, Cloud Application Security, Cloud Security, Computer Programming, Data Security, Identity Access Management (IAM), Information Systems, Infrastructure Security, LLM Orchestration, Microsoft Azure, ML Security, Operating Systems Security, Scripting, Security Engineering, Security Technologies, Security Testing, Sonrai CSPM, 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 most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

Inclusion at GSK:

As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.

Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs.

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