> Markdown version of [/jobs/ext/2030994-ai-platform-engineer](https://www.wearedevelopers.com/jobs/ext/2030994-ai-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Platform Engineer - **Company:** Portfolio Group Ltd - **Location:** Manchester, UK - **Salary:** £80,000.0 - £100,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Audit Trail, Microsoft Azure, Software as a Service, Cloud Engineering, Databases, Extract Transform Load (ETL), DevOps, Fault Tolerance, Github, Identity and Access Management, Python (Programming Language), Search Technologies, Data Streaming, Management of Software Versions, Datadog, Azure Data Factory, Large Language Models, Containerization, AI Platforms, Search Engines, Api Design, Terraform, Microservices - **Published:** August 12, 2026 - **Apply:** https://www.reed.co.uk/jobs/ai-platform-engineer/57226404 ## About the Role * Proven enterprise delivery on Microsoft Azure. * Azure Data Factory experience for ETL workflows. * Familiarity with vector databases or search engines such as OpenSearch. * Strong Python skills. * Experience with containerisation and Terraform. * Solid grasp of microservices, API design, and cloud-native architecture. * Observability tooling experience, such as OpenTelemetry, is a plus. * Background in platform or infrastructure engineering within production environments. * Track record owning cloud platforms with accountability for reliability and scale. * Experience with production AI-enabled platforms is an advantage. * Autonomous, ownership-driven approach with a strong focus on reliability. ## Description Join a high growth international SaaS business as an AI Platform Engineer, where you will design, build, and operate the AI platform that underpins our clinets conversational assistant and wider AI initiatives. You will take responsibility for the runtime, infrastructure, and operational foundations underpinning our RAG pipelines, LLM orchestration, and vector search, built across Microsoft Azure and Microsoft Foundry. Where prototypes and proof-of-concepts exist, you will be the one turning them into resilient, production-ready services, working alongside AI Engineering, DevOps, and Info-Sec to get them there. What You'll Do * Build and extend a scalable AI platform via Microsoft Foundry. * Own and optimise Foundry solutions for accuracy, scale, and latency. * Harden the production RAG pipeline, covering inference, retrieval, and ingestion. * Architect Azure services using Terraform infrastructure-as-code. * Scale vector database and embedding pipelines. * Build end-to-end observability across latency, throughput, cost, and system health. * Strengthen resilience through fault-tolerance, caching, and autoscaling. * Maintain CI/CD pipelines through GitHub and Azure DevOps. * Automate embedding generation and knowledge base synchronisation. * Embed secure-by-design principles, including IAM, encryption, and safe data flows. * Mature governance practices, including versioning, audit logging, and compliance. ## Related Videos - [Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact](https://www.wearedevelopers.com/videos/1541-azure-ai-foundry-for-developers-open-tools-scalable-agents-real-impact) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)