DTG GLOBAL
Azure AI Engineer
Job Description
Azure AI Engineer needed to build production AI agents and automated workflows for this large, well established enterprise sized business.
This is a hands-on engineering role in an internal team. You’ll take business use cases from idea to production, designing AI agents and multi-step workflows that work across the firm’s enterprise platforms. You’ll also build reusable building blocks – connectors, tools and capabilities – that the wider team can use again on future projects.
What you’ll be doing
- Designing and building AI agents and multi-step automated workflows on Azure
- Orchestrating solutions across Azure AI services and Copilot Studio
- Building reusable connectors, tools and components for future projects
- Integrating with enterprise systems through REST and GraphQL APIs
- Leading technical design and code reviews
- Setting the standard for prompt evaluation and AI governance
What you’ll bring
- Strong Python – APIs, testing, modular design and async
- Hands-on experience with Azure OpenAI, Azure AI Foundry, Azure Functions and containers
- Copilot Studio experience
- Experience with workflow orchestration and event-driven systems
- CI/CD, Docker and Kubernetes
- Familiarity with MCP is a strong plus
- Experience in a regulated environment is preferred
If you’re building agentic AI in production and want to do it on real business problems, apply now or contact Richard directly for a confidential conversation.