Full job description

Lead AI EngineerThis is an opportunity to join a growing AI function at a business investing heavily in artificial intelligence, automation, and digital transformation. You will play a key role in shaping technical direction, delivering production-grade AI solutions, and influencing how AI is embedded across a large, commercially focused organisation.The RoleYou will take ownership of AI initiatives from concept through to production, helping design and deliver solutions that solve real business challenges.Responsibilities include:*Leading the design and delivery of production-grade Generative AI and AI-powered solutions
*Owning architecture decisions across AI products and platforms
*Building and deploying LLM, RAG, and agentic AI systems at enterprise scale
*Evaluating build versus buy approaches and making pragmatic technology recommendations
*Working closely with engineering, security, governance, and business stakeholders
*Driving technical standards, best practices, and reusable AI frameworks
*Supporting and mentoring engineers across multiple workstreams
*Contributing to AI strategy and helping prioritise high-value use cases
*Ensuring solutions are scalable, secure, observable, and production-ready
Your Skills & ExperienceYou will bring:*Strong commercial experience delivering Generative AI solutions into production
*Proven capability leading end-to-end AI projects from discovery through deployment
*Deep understanding of LLMs, RAG architectures, agentic AI, orchestration, prompting, and evaluation
*Strong software engineering foundations, including APIs, cloud architectures, and system design
*Experience making architecture and technology decisions within complex environments
*Ability to operate effectively in ambiguous and rapidly evolving problem spaces
*Experience collaborating with security, governance, compliance, and data protection teams
*Strong communication skills with the ability to engage technical and non-technical stakeholders
*Experience within enterprise-scale organisations, ideally in regulated environments
*Exposure to AWS and modern AI engineering practices is highly desirable