We are working with a large, well-known education organisation seeking an experienced AI Engineer to support a major transformation program.
This is a hands-on delivery role focused on building production-ready AI solutions, not prototypes. You will work closely with product, technology, governance and business stakeholders to deliver AI capabilities that can be reused and scaled across the organisation.
Key responsibilities:
* Build production-ready AI applications using Azure OpenAI and Azure AI Services
* Develop RAG, agent-based and workflow-driven AI solutions
* Work with Copilot Studio, Power Platform and Microsoft 365 integrations
* Design reusable components including prompts, retrieval patterns, orchestration flows and agents
* Integrate AI solutions with enterprise systems, APIs and approved data sources
* Apply strong engineering practices across testing, deployment, monitoring, security and quality
* Ensure solutions align with data protection, privacy, governance and enterprise architecture standards
* Work with stakeholders to translate business requirements into practical AI solutions
Key skills and experience:
* Proven experience building and deploying production AI applications
* Strong experience with RAG, LLM engineering, agents and tool-based orchestration
* Hands-on experience with Azure OpenAI, Azure AI Services, Copilot Studio and Power Platform
* Experience with APIs, integration, testing and secure enterprise delivery
* Understanding of prompt design, retrieval design, evaluation, guardrails and LLMOps
* Ability to work with ambiguity and deliver practical outcomes quickly
This role would suit a hands-on AI Engineer who can move from concept to working solution, build with scale and reuse in mind, and operate effectively in a complex enterprise environment.
Contract: Initial 6 months
Rate: Up to $850 per day, depending on experience
#J-18808-Ljbffr