Job highlights

- Comfort with being the person who raises the problem and cannot close it is essential
- 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.
- Preferred Qualifications

Job Summary

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 GSKs business units and RD 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

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 teams 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 teams ways of working, sharing what works and applying sound judgement, including validating outputs and following GSKs 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
- Explicit written findings and stakeholder communication with platform engineering teams
- Qualifications: Bachelors 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.

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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Principal Engineer - AI ML and Cloud Security (Bengaluru)
🏢 GSK India
📍 Bengaluru