Lead AI Engineer

This 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 Role

You 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 & Experience

You 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