Lead Agentic Software Engineer

Lead Agentic Software Engineer 

This is a great opportunity to work at the frontier of AI-augmented software delivery, on challenging technical problems from a strong position of influence.  

At Scott Logic, we already have a reputation for world-class software engineering. Our clients are some of the world’s leading organisations and have long trusted us to build reliable, high-performance, business-critical solutions. They now expect us to help them unlock the productivity benefits of agentic AI development – how to best adopt the tools, but also crucially ensuring they have the right foundations and guardrails in place and supporting the wider shift in day-to-day workflows. 

You will typically be leading a small, tight-knit multidisciplinary team, working with our clients to solve tough software problems, as well as having a real impact on how they evolve their development practices. You’ll foster stakeholder relationships and advise on key technology and software delivery decisions. There's also plenty of opportunity to contribute more widely across Scott Logic, collaborating and sharing knowledge with colleagues as we collectively learn and adapt, and helping to shape upcoming projects. 

What are we looking for?   

We’re looking for passionate, proactive technologists. As a company we are technology agnostic and use the right language, tooling, and frameworks for the job. That means we’re open minded when it comes to your existing skillset, but we value the following:   

• Strong technical leadership experience, understanding what makes a team successful and how to support colleagues in their own career development   

• A background in at least one of Java, C#/.NET, Python, JavaScript or TypeScript, and their associated ecosystems – understanding how to design and build well-structured, maintainable systems.   

• Strong communication skills and a collaborative approach to work, allowing you to build trusted relationships with clients, coach colleagues and get the job done.  

• Good awareness of the evolving state of AI tooling, and the enthusiasm to make the most of what's possible. 

• A problem-solving mindset, able to pragmatically explore options and find effective solutions.   

• Adaptability and embracing the chance to learn, experiment, and grow your experience.