Azure AI Engineer

Azure AI Engineer

Permanent

Hybrid - Home based in the UK - (No sponsorship can be offered)

Must be SC Cleared or SC Clearable

Join a leading tech and innovation partner who focus on delivering intelligent, enterprise-grade solutions. As an Azure AI Engineer , you’ll design and operationalise cutting-edge solutions that combine Azure OpenAI , Cognitive Services , AI Search , and Fabric with Dynamics 365 and Power Platform to enable automation, decision intelligence, and next-generation digital experiences.

Key Responsibilities

• Design, build, and deploy Azure AI-powered applications using Azure OpenAI, Cognitive Services, AI Search, and Azure Machine Learning .
• Engineer data pipelines and orchestration with Azure Data Factory, Synapse, Fabric, and SQL , ensuring scalability and governance.
• Implement Microsoft Purview or equivalent frameworks for data security, compliance, and lineage tracking .
• Develop AI-driven integrations and automations across Dynamics 365 , Power Platform , and custom web applications .
• Use Azure Functions, Logic Apps, and APIs to orchestrate data and AI workflows.
• Design and deliver retrieval-augmented generation (RAG) and Copilot-style assistants embedded into business and web applications.
• Embed observability and monitoring into AI and data pipelines, tracking performance, quality, and cost.
• Collaborate with data scientists, architects, and product teams to turn prototypes into enterprise-ready AI services .
• Stay at the forefront of Azure AI, Business Apps, and Web App innovation — driving experimentation and reusability through the Foundry model .

About You

• Proven experience designing and delivering AI or automation solutions on Azure .
• Strong understanding of Azure AI ecosystem (OpenAI, Cognitive Services, AI Search, Synapse, Fabric).
• Experience integrating AI into Dynamics 365, Power Platform, or custom web apps .
• Background in C#, JavaScript/TypeScript , or equivalent for building and extending web or Power Apps solutions.
• Knowledge of Azure DevOps, CI/CD, and Infrastructure-as-Code (Bicep, Terraform).
• Deep appreciation of governance, observability, and secure design principles .