AI Engineer

The Premier League’s IT department is looking for an experienced AI Engineer to join the Engineering team, responsible for designing, building and supporting AI-powered copilots and agents across the Premier League and its member clubs. The AI Engineering function’s core responsibility is to design, build, deploy and maintain intelligent agents and copilots that enhance productivity, automate workflows and enable smarter decision-making across the organisation and its member clubs.

This role will work closely with business stakeholders to identify opportunities where AI agents can deliver value and lead the implementation of those solutions at scale.

The Premier League is an equal opportunities employer and strives to create an inclusive culture where talent can flourish. We believe in the potential of everyone and open our doors to those who share those values. All appointments will be made based on merit; however, we particularly encourage applications from women, people from minority ethnic communities, LGBTQ+ people and disabled people.

Our hybrid-working model also allows you some variety on your place of work, offering you the chance to work from home on some days each week. Where possible, you will attend the office or site visits in line with our company policy. All staff liaise closely with their line manager to manage their time appropriately and according to their work and team requirements.

Key Responsibilities

• Design and implement scalable, reliable AI agents and copilots using modern LLM frameworks.
• Define patterns for orchestration, tool usage, memory, and human-in-the-loop workflows.
• Provide technical governance and best practices for agent-based systems.
• Strong experience working with large language models (e.g. OpenAI, Azure OpenAI), prompt engineering, embeddings, vector databases, and retrieval-augmented generation (RAG).
• Ability to evaluate and optimise model performance for real-world use cases.
• Build agents that integrate with internal systems (APIs, databases, SaaS tools such as Microsoft 365, Notion, etc.) to automate workflows and enhance productivity.
• Design intuitive copilot experiences that augment users rather than replace them, with a focus on usability, trust, and explainability.
• As a senior member of a growing team, support other engineers through mentoring, documentation, and establishing best practices in AI engineering.
• Define metrics and evaluation frameworks for agent performance, reliability, and safety. Continuously iterate based on feedback and usage data.
• Experience deploying AI systems into production environments, including monitoring, observability, cost control, and lifecycle management of models and agents.
• Experience of working within a project team in an Agile manner, collaborating closely with stakeholders to iteratively deliver value.
• Ensure AI solutions adhere to security, privacy, and data governance standards. Awareness of risks such as hallucination, data leakage, and misuse, with mitigation strategies in place.
• Liaise with the relevant Business Analyst, Quality Assurance Team, Security Team, Infrastructure Team and stakeholders on matters as required.

Role Requirement

• Experience building AI agents, copilots, or automation workflows using LLMs in a production or enterprise environment.
• Strong understanding of prompt engineering, RAG architectures, and tool-augmented agents.
• Experience integrating AI solutions with APIs, databases, and enterprise systems.
• Familiarity with TypeScript.
• Education in an appropriate field of study or equivalent work experience.
• Experience of leading projects or owning AI-driven initiatives end-to-end.
• Experience of managing matters autonomously.
• Strong technical awareness and the ability to think strategically about AI adoption within an organisation.
• Outstanding attention to detail and strong analytical and research skills.
• Excellent written and verbal communication skills, with the ability to explain AI concepts to non-technical stakeholders.
• Excellent work ethic and ability to cope with pressurised situations and tight timeframes whilst maintaining a professional approach.