AI Platform Engineer

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Description

Help shape the future of AI within a growing international SaaS business. You'll design, build and operate the cloud-native platform supporting Retrieval-Augmented Generation (RAG), LLM orchestration, vector search and production AI services, working closely with AI Engineering, DevOps and Security teams to deliver scalable, secure and reliable AI solutions. Role scope: Designing, building and operating AI platform infrastructure across Microsoft Azure. Developing and optimising RAG pipelines, AI services and platform components. Deploying infrastructure using Terraform and supporting containerised applications. Building and maintaining CI/CD pipelines using GitHub and Azure DevOps. Improving observability, monitoring and platform resilience. Supporting vector search, embedding pipelines and knowledge ingestion. Applying security and governance best practice across the AI platform. What we're looking for Experience designing and supporting cloud platforms on Microsoft Azure. Strong Terraform and Infrastructure-as-Code experience. Experience with containerised applications and CI/CD pipelines. Python for automation and scripting. A good understanding of cloud-native architecture, APIs and microservices. Experience with vector search technologies such as OpenSearch would be advantageous. Experience with Microsoft Foundry or Azure AI Foundry is desirable but not essential. We're equally interested in experienced Azure Platform, Cloud or DevOps Engineers looking to build their expertise in enterprise AI. Why join us? You'll be joining an international SaaS business making significant investment in AI, where you'll have the opportunity to influence the architecture of a growing AI platform and work with the latest Azure technologies. This is a hands-on role with genuine ownership, the opportunity to work on cut

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