Lead AI Engineer

About the role

You will: Design and build scalable AI and GenAI solutions within Azure cloud environments Develop intelligent workflows and agentic AI capabilities using modern orchestration frameworks Build and maintain AI services, APIs, and backend integrations Work closely with Data Engineers, Platform Engineers, Architects, and Product teams to deliver AI solutions into production Lead technical delivery across AI engineering initiatives Mentor and support junior engineers within the team Contribute to engineering standards, reusable patterns, and AI best practices Help shape scalable MLOps and AI deployment approaches Drive high-quality engineering practices across testing, deployment, monitoring, and optimisation Tech environment Key technologies include: Python Azure Databricks Generative AI / LLM frameworks Agentic AI tooling and orchestration frameworks LangChain / LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/CD pipelines Git-based development workflows What we're looking for 4-6 years' experience within Software Engineering, AI Engineering, or Machine Learning Engineering roles Strong hands-on Python engineering capability Experience building AI or machine learning solutions within production environments Strong understanding of Generative AI and modern AI engineering practices Exposure to Agentic AI frameworks or autonomous AI workflows Experience working with Azure and Databricks Good understanding of backend engineering and API development Experience collaborating across cross-functional engineering and product teams Ability to mentor or support junior engineers Strong communication and problem-solving skills Package Salary up to £75,000 Annual bonus Full car allowance Hybrid working model Strong investment in AI engineering capability and tooling Opportunity to work on cutting-edge GenAI and Agentic AI initiatives Clear progression opportunities within a growing AI engineering function This is an excellent opportunity for an engineer looking to build real-world AI systems at scale while working within a collaborative and technically strong engineering environment.