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AI Platform Engineer

Lucid Support Services LtdMoffat, Dumfriesshire🇬🇧United KingdomPosted 2 Sept 2026

Why This Role Stands Out

This hybrid role offers a significant opportunity to shape an enterprise-grade AI platform for a central government organization, providing hands-on experience in building scalable, secure AI services and infrastructure. You'll thrive if you have a strong backend and cloud engineering background, enjoy implementing robust solutions, and are eager to contribute to cutting-edge AI development within a supportive environment. Apply now to make a tangible impact and advance your career in this exciting field.

Quick Overview

Seniority
Mid Senior
Employment type
Temporary/Casual
Work mode
Hybrid
Location
Moffat, Dumfriesshire, United Kingdom
AWSAnsibleAzureGenerative AITerraform

Job Description

AI Platform Engineer

  • Hybrid- Remote/London
  • 6 months +
  • Inside IR35
  • SC Clearance (or eligible)

Our customer, a central government organization, are building an enterprise-grade AI platform to enable secure, scalable and production-ready use of Generative AI and ML across the programme.

The AI Platform Engineer will translate architectural designs into working systems, implementing AI services that integrate cleanly into enterprise applications, workflows and SDLC processes.

This is a hands-on engineering role focused on production.

  • Strong Back End and cloud engineering experience
  • Infrastructure-as-code (eg Terraform, Ansible)
  • Experience building scalable APIs and distributed systems
  • Familiarity with Bedrock AI services
  • Enterprise security and governance awareness

The Platform Engineer - AI Platform is responsible for building and maintaining the foundational infrastructure that enables secure, scalable and reusable AI capability across CDS. This role focuses on cloud-native architecture, reusable service patterns and platform automation rather than individual use case delivery.

Key Responsibilities:

  • Design and implement reusable AI service scaffolding (API wrappers, orchestration templates, IAM integration)
  • Build and maintain cloud-native infrastructure in AWS and/or Azure
  • Implement secure networking, environment isolation and deployment pipelines
  • Develop reusable integration components for RAG, orchestration and agent patterns
  • Enforce platform standards for logging, telemetry and cost tracking
  • Support use case squads in consuming platform services correctly

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