Cloud Engineer - Cyber Security

Azure AI Engineer / Fixed-Term Contract / Remote, UK Based / Competitive compensation The company is an AI-focused business building practical AI-native solutions for clients, with a strong focus on automation, intelligent workflows and applied AI products that solve real business problems. The business is now looking for a hands-on Azure AI Engineer / AI Agent Developer to support the delivery of an Azure-based AI agent and RAG workflow, while also helping build internal AI-native automations across commercial, product and operational workflows. This is a fixed-term contract role (August & September 2026) suited to a practical Azure AI builder who can configure services, write code, debug issues and improve the quality of AI agent and retrieval-based systems. The role will be approximately 70% focused on client delivery and 30% focused on internal automation and light web support. The main project will involve building, testing, monitoring and improving an Azure-based AI agent / RAG workflow using Azure AI Search, Cosmos DB, Azure AI Foundry, Azure OpenAI, Application Insights and Azure Monitor. Alongside this, the contractor will support with Power Automate workflows, AI-native automations and simple TypeScript website edits when required. Build and improve an AI underwriting assistant / agent using Azure AI Foundry, Azure OpenAI, Azure AI Search and Cosmos DB. Test the AI agent against client datasets and improve prompts, retrieval quality, schemas, grounding, validation and guardrails. Configure and maintain RAG workflows, including indexing, chunking, embeddings, vector/hybrid search and metadata filtering. Instrument the system using Application Insights, Azure Monitor and Log Analytics to track errors, latency, usage, retrieval diagnostics and agent performance. Build internal AI-native automations for sales, follow-up, demos, reporting, research and product workflows. Build Power Automate cloud flows across Microsoft 365, Outlook, SharePoint and Teams. Make simple TypeScript / React / Next.js-style website edits when needed, including links, content changes, GitHub commits or pull requests. Experience building RAG workflows using Azure AI Search or equivalent vector/hybrid search systems. Strong understanding of indexing, chunking, embeddings, vector search, hybrid search, metadata filters, grounded answers and retrieval testing. Experience with Azure AI Foundry and/or Azure OpenAI, including model deployments, prompts, agent configuration, tool/function calling, structured outputs, evaluation and cost/latency awareness. Experience using Cosmos DB for NoSQL data modelling, including agent state, conversation history, metadata, document records, querying, indexing and partitioning basics. Experience with monitoring and observability tools such as Application Insights, Azure Monitor, Log Analytics and custom telemetry. Practical experience building AI agents, tool-using workflows, multi-step automations, orchestration, guardrails, validation and human-in-the-loop review. Experience creating Power Automate cloud flows across Microsoft 365, Outlook, SharePoint and Teams. Basic TypeScript/web experience, ideally with simple React or Next.js website edits, GitHub commits, pull requests and deployment awareness. Practical Azure AI builder, not a pure ML researcher. Comfortable configuring Azure services, writing code, debugging failures and improving retrieval/model quality. Able to work across client delivery, internal automation, product support and light web edits. Commercially aware and able to build AI workflows that are reliable, useful and practical for real business use cases. Azure Document Intelligence, OCR or PDF extraction experience. Dynamics 365, Dataverse or CRM integration experience. AI evaluation experience, including golden test sets, regression tests, retrieval quality checks and hallucination checks. Experience working with sensitive UK/EU client data and understanding of security/governance requirements.