AI Engineer

Summary: The role of Contract AI Engineer focuses on the design, build, and deployment of advanced AI solutions within enterprise environments, particularly leveraging Microsoft Azure AI ecosystems. Candidates are expected to have hands-on experience with generative AI capabilities and scalable LLM architectures. The position emphasizes collaboration with various teams to ensure production readiness and integration into existing systems. This is a contract position lasting between 6 to 12 months and classified as outside IR35.

Key Responsibilities:

• 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

Key Skills:

• 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

Salary (Rate): £950 per day

City: Swindon

Country: UK

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Contract AI Engineer - Copilot | Azure AI

6-12 months - Outside

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