Principal Engineer - AI ML and Cloud Security
GSK (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 35–55 LPA
Posted 3d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead and execute CSPM analysis across Azure and GCP using tools like Prisma Cloud, Wiz, or Upwind, generating clear, actionable findings for platform teams.
- Maintain and update the shadow AI register by discovering and classifying AI tools, applying agent and model risk-tiering, and tracking assessments through governance.
- Produce and automate AI and cloud security posture KPIs and dashboards, support LLM and API exposure risk assessments, and escalate unresolved issues without direct remediation ownership.
Minimum Requirements
- 10+ years experience in cloud or platform security within a regulated environment focused on AI Platform and Cloud Security (CSPM, shadow AI, agent risk-tiering on Azure and GCP).
- Proficiency with CSPM platforms such as Prisma Cloud, Wiz, or Upwind for Azure and GCP environments and managing shadow AI registers and risk-tiering.
- Experience using Python, SQL, or scripting for security data analysis and dashboard creation with audit-ready accuracy.
- Bachelor's degree in relevant discipline or equivalent professional experience.
Ideal Candidate Profile
- Expertise in cloud security advisory and analysis with no direct remediation authority, requiring strong influence through communication and persistence.
- Skilled in translating complex security findings into clear reports actionable by platform engineering teams in large, multi-cloud environments.
- Experienced in using automation to improve security posture reporting and comfortable mentoring junior analysts on cloud and AI security topics.