Entry-Level AI Platform & Cloud Security Analyst

Gsk; Greater London; Hybride; GBP 75 000 - 95 000; Plein temps

Résumé du poste

GSK seeks an entry-level AI platform engineer to support the AI platform and data fabric workstreams. You will configure environments, document build outputs, and maintain CI/CD documentation while developing automation to keep builds moving and surface failures early.

You will work with senior engineers across AI engineering, ensuring test coverage, traceability, and alignment with architecture specs, focusing on scripting and automation with curiosity and precision.

Qualifications

• Experience in AI, platform or software engineering with a relevant technical degree - domain focus: AI Engineering (AI platform and data fabric workstreams).
• 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.

Responsabilités

• 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.

Connaissances

AI Platform Engineering

Python automation

LLM pipelines

CI/CD tooling

Terraform

Kubernetes

Formation

Relevant technical degree

Outils

Azure

GCP

MLflow

Kubernetes

Git

Description du poste

GSK seeks an entry-level AI platform engineer to support the AI platform and data fabric workstreams. You will configure environments, document build outputs, and maintain CI/CD documentation while developing automation to keep builds moving and surface failures early.

You will work with senior engineers across AI engineering, ensuring test coverage, traceability, and alignment with architecture specs, focusing on scripting and automation with curiosity and precision.