AI Platform Engineer

Gazelle Global Consulting — United Kingdom · Posted ~3 hours ago

Mid Full-time Hybrid

Skills

backend engineering cloud engineering Terraform Ansible API development distributed systems AWS AI services APIs Generative AI

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Summary ✨ AI‑Generated

A hands-on engineering role focused on designing and delivering enterprise AI platform capabilities. The position requires strong cloud, backend, infrastructure-as-code, API, and distributed systems experience to create secure and scalable solutions.

Highlights

Opportunity to build secure, scalable AI infrastructure with a focus on cloud-native engineering, automation, and production-grade systems.

Description

We are building an enterprise-grade AI platform to enable secure, scalable and production-ready use of Generative AI and ML across the Customs Declaration Service. 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 productionisation. Location: Anywhere in the UK, with the option to attend the office when required Key Skills Strong backend and cloud engineering experienceInfrastructure-as-code, e.g. Terraform, AnsibleExperience building scalable APIs and distributed systemsFamiliarity with Bedrock AI servicesEnterprise security and governance awareness Key Responsibilities 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. Design and implement reusable AI service scaffolding, including API wrappers, orchestration templates and IAM integrationBuild and maintain cloud-native infrastructure in AWS and/or AzureImplement secure networking, environment isolation and deployment pipelinesDevelop reusable integration components for RAG, orchestration and agent patternsEnforce platform standards for logging, telemetry and cost trackingSupport use case squads in consuming platform services correctly