Lead Applied AI Engineer

📋 Description

• Lead and line-manage Applied AI engineers, setting clear goals, providing regular feedback and
• Set the team's technical direction and delivery roadmap with business and technology stakeholders
• Provide hands-on technical leadership for applied and agentic AI workflows, integrations and
• Set standards for building, testing and evaluating tool-using agents with Google ADK or similar
• Own operational performance across AI-enabled services and SaaS platforms, including service
• Own account management for third-party SaaS suppliers, acting as the primary relationship owner and

🎯 Requirements

• Experience line-managing engineers, coaching and developing people, managing performance and
• Experience owning third-party supplier relationships, service reviews, escalations, licensing and
• Experience leading the administration and lifecycle management of cloud-based business systems
• Strong experience delivering applied and agentic AI workflows that combine models, tools and
• Familiarity with Google ADK or similar frameworks is desirable.
• Strong hands-on engineering skills and experience designing and reviewing REST API, webhook and

🎁 Benefits

• Company pension contributions at 5%
• Individualised training budget
• Discounted holidays for you, your family and friends
• 25 days of holidays per annum (plus 8 public holidays), increases by 1 day for every second year of
• Ability to buy and sell annual leave
• Cycle to work scheme, season ticket loan and eye care vouchers