Microsoft AI Engineer
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Role details
Tech stack
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Job description
We’re looking for a hands-on Microsoft AI Engineer to join a growing technology team and help build and roll out AI solutions across the business.
This is a proper engineering role rather than something focused purely on AI strategy or proof of concepts. You’ll be taking ideas from the business, working out how AI can genuinely solve the problem, and then building solutions that can be deployed and used in a live enterprise environment.
You’ll be working mainly across the Microsoft ecosystem, including Azure AI, Copilot and the wider Microsoft cloud stack.
What you’ll be doing
- Building AI applications, copilots, agents and automated workflows
- Developing solutions using Azure OpenAI, Azure AI services and Copilot Studio
- Building RAG and enterprise search solutions using internal business data
- Connecting AI solutions into platforms such as Microsoft 365, SharePoint, Dataverse and other business systems
- Working with APIs, connectors and Azure services to build integrations
- Developing and improving prompts, agent workflows and AI tooling
- Taking solutions through development, testing and into production
- Making sure solutions are secure, reliable and properly governed
- Monitoring live AI services and improving performance, accuracy and cost
- Working with technical teams and business users to identify where AI can actually add value
Requirements
You’ll need genuine hands-on experience building AI solutions within the Microsoft ecosystem.
Ideally, your background will include several of the following:
- Azure OpenAI
- Azure AI Foundry
- Copilot Studio
- Microsoft 365 Copilot
- Azure AI Search
- RAG/knowledge-grounded AI applications
- AI agents and agentic workflows
- Microsoft Fabric
- Power Platform
- Azure Functions/Logic Apps
- APIs and system integrations
- Python, C#, JavaScript/TypeScript or similar
- Microsoft Entra ID/cloud security
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