Associate Director - AI ML and Cloud Security - AI Platform Engineering
GSK (company site, opens in a new tab)15+ yrsBengaluruOn-siteDirect career pageEst. 40–70 LPA
Posted 3d ago
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Job description
Structured overview of role & requirements
About This Role
- Own and deliver AI and ML platform infrastructure for Cyber Architecture, focusing on Kubernetes clusters, GPU node pools, CI/CD pipelines, and the data fabric pipeline for AI/ML workloads.
- Lead engineering build of vendor-ready, tested infrastructure from architecture specifications with security controls integrated, ensuring seamless vendor handover and operational readiness.
- Manage cloud security posture for AI estate across Azure and GCP, govern data ingestion, and lead platform engineering team to maintain infrastructure-as-code environments with traceability.
Minimum Requirements
- 15+ years in platform, cloud or AI security engineering within regulated environments, especially in AI platform engineering and cloud security posture across Azure and GCP.
- Experience leading AI/ML platform engineering: Kubernetes, GPU provisioning, CI/CD for AI/ML, model serving, vector databases, and MLOps/LLMOps pipelines.
- Bachelor's degree in a relevant discipline or equivalent professional experience.
- Not explicitly mentioned: Notice period or specific location requirements.
Ideal Candidate Profile
- Experienced in managing large-scale AI/ML infrastructure delivery focusing on operational excellence and vendor handover in regulated environments.
- Strong expertise in Kubernetes orchestration, CI/CD pipelines, GPU and compute capacity planning, and integration of security-by-design practices.
- Strategic leader capable of owning multi-cloud AI platform security posture while guiding engineering teams and coordinating with vendors for critical AI infrastructure.