We are seeking highly specialised LLM and Enterprise AI Engineers to support the design, build, and production deployment of next-generation AI solutions within a complex, enterprise-scale environment.
This is a hands-on engineering role focused on delivering production-ready generative AI capabilities, with a strong emphasis on Microsoft Azure AI ecosystems and scalable LLM architectures.
Key Requirements
We are particularly interested in engineers with proven, production-grade experience across:
* Azure AI Foundry (agentic workflows, RAG systems, orchestration, deployment pipelines)
* Microsoft Copilot Studio (enterprise copilots, agents, integrations with M365 / Power Platform)
* End-to-end LLM application delivery in production environments
* API integration, secure deployment patterns, and enterprise data connectivity
* Experience building and scaling RAG-based architectures and agentic systems
* Strong understanding of MLOps / LLMOps principles in cloud-native environments
Overview of Role
* Design and deploy enterprise-grade AI agents and copilots embedded into business workflows
* Build scalable LLM solutions leveraging Azure-native tooling and services
* Integrate AI systems into existing enterprise data platforms and business applications
* Optimise performance, reliability, governance, and observability of deployed AI systems
* Collaborate with architecture, data, and security teams to ensure production readiness
If this role is something you’d like to explore further, please do apply with an updated CV or email me direct: c.winchcomb @ioassociates.co.uk
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