AI Engineer - London
Summary
Build AI-powered automation and copilots using Microsoft Copilot Studio, Azure AI, and Python to streamline processes in a higher-education setting.
AI Engineer - London - hybrid working
Up to £51,000 + perm benefits
We are seeking an AI Engineer to join an ambitious digital transformation programme focused on driving the adoption of Artificial Intelligence across a large and complex higher education environment. This is a fantastic opportunity for someone who is passionate about AI, automation and emerging technologies. You'll play a key role in identifying opportunities for AI-driven improvements, developing innovative solutions, and helping to define how AI is adopted across the organisation.
The Role
- Working within a newly established AI programme, you will help identify business challenges and design practical AI-powered solutions that automate manual processes, improve productivity and enhance user experiences.
- You will work closely with stakeholders across the organisation to understand problems, develop proof of concepts, build AI solutions and collaborate with both internal and third-party development teams to deliver successful outcomes.
- This position is focused on AI applications, intelligent agents and workflow automation rather than infrastructure or traditional software engineering.
Key Responsibilities
- Design and develop AI-powered applications and automation solutions.
- Build AI assistants, agents and copilots using Microsoft Copilot Studio, Azure AI and Power Platform technologies.
- Identify opportunities to automate manual processes and improve operational efficiency.
- Develop proof-of-concepts and rapidly prototype innovative AI solutions.
- Create Python-based services, integrations and automation scripts to support AI initiatives.
- Integrate AI solutions with existing enterprise systems and applications.
- Apply prompt engineering, orchestration techniques and modern AI best practices.
About You
- Around 2-3 years' experience in AI, automation, software development or a related technology discipline.
- Experience with Microsoft Copilot Studio.
- Exposure to Azure AI services and the wider Microsoft AI ecosystem.
- Strong Python skills.
- Experience developing automation and workflow solutions.
- Understanding of Large Language Models (LLMs) and prompt engineering.