AI Platform & Cloud Security Analyst

GSK; Irvine; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

GSK is seeking an Analyst for AI ML & Cloud Security to support AI platform engineering and data fabric workstreams. You will configure environments, document build outputs, maintain CI/CD documentation, and develop automation to keep builds moving and surface failures before they affect delivery.

You will work with senior engineers across platform and data fabric streams, focusing on scripting, automation, and test evidence to ensure vendor handover readiness and auditable build records.

Qualifications

• Experienced in AI, platform or software engineering with a relevant technical degree — domain focus: AI Engineering.
• Configuring AI platform environments and supporting LLM, agent and RAG pipeline builds — environment setup, embedding and vector index jobs, and evaluation runs
• Building and running test cases for AI components — prompt-injection, output-validation and regression tests for non-deterministic behaviour
• Python automation for AI pipeline health — data quality, ingestion failures, model and API latency, token usage and cost — with automated alerting
• Documenting data fabric builds and CI/CD pipelines to vendor-handover standard and maintaining build records, working to architecture specifications and raising gaps rather than filling them informally.

Responsibilities

• Configure and maintain AI platform environments for development and test.
• Document data fabric build outputs and keep the build registry accurate.
• Maintain CI/CD pipeline documentation to the standard the vendor needs to operate the fabric once it transfers.
• Develop automation scripts for pipeline health monitoring so failures surface before they affect delivery.
• Build and execute test cases for platform and data fabric builds.
• Maintain build records so the platform estate stays traceable and auditable.
• Work to the architecture specifications provided and raise gaps rather than filling them informally.
• Support senior engineers across the platform and data fabric workstreams.
• Raise defects and blockers early with enough detail to be actionable.
• Build subject matter depth in AI platform engineering and data pipeline delivery.

Skills

AI Platform

Automation scripting

Python automation

CI/CD

Testing AI components

Education

Relevant technical degree

Tools

Terraform

Helm

Git

MLflow

Kubernetes

Azure

GCP

Job description

GSK is seeking an Analyst for AI ML & Cloud Security to support AI platform engineering and data fabric workstreams. You will configure environments, document build outputs, maintain CI/CD documentation, and develop automation to keep builds moving and surface failures before they affect delivery.

You will work with senior engineers across platform and data fabric streams, focusing on scripting, automation, and test evidence to ensure vendor handover readiness and auditable build records.