Applied AI Engineer

Design, build and optimise AI-powered solutions, agents and workflows that address real business challenges and deliver measurable value.

Develop solutions using Microsoft technologies including Azure AI Foundry, Copilot Studio, Azure OpenAI and Microsoft Fabric.

Collaborate with business stakeholders, product teams and technical colleagues to translate requirements into scalable AI and data solutions.

Build and integrate data pipelines, APIs and enterprise data sources to enable intelligent, production-ready applications.

Apply software engineering, data engineering and AI best practices to ensure solutions are secure, scalable and maintainable.

Support the full solution lifecycle, including prototyping, testing, deployment, monitoring and continuous improvement.

Implement DevOps, MLOps and AIOps practices to enable reliable deployment, observability and operational excellence.

Contribute to the development of reusable AI capabilities, engineering standards and best practices across the AI Centre of Excellence.

Partner with Data Engineers, UX teams and business stakeholders to drive adoption and successful delivery of AI-enabled solutions.

• Stay current with emerging AI technologies and identify opportunities to leverage new capabilities to improve business outcomes.