Technology Manager – AI & Engineering Transformation

Technology Lead – AI & Engineering Transformation

Location:

Remote – with occasional Travel requirements

Salary:

up to £75,000 + Bonus + Benefits

About the Business

Our client is a well-established software organisation with a strong track record of delivering enterprise technology solutions. They are currently investing heavily in product innovation, engineering capability, and AI-driven transformation as they continue to evolve their technology offering.

As part of continued investment in their products and technology function, they are seeking a Technology Lead to drive AI adoption, support product modernisation, and lead a team of Developers and QA professionals.

The Role

This is a hands off leadership role managing a team of approximately 14 Developers and QA Engineers within an Agile, sprint-based environment.

A key focus of the role is championing the use of AI across the software development lifecycle, helping teams improve productivity, quality, and delivery while supporting the ongoing modernisation of established software products.

Working closely with Product and Operations teams, you will provide technical leadership, drive continuous improvement, and help shape the future direction of engineering practices across the business.

Key Responsibilities

• Lead and develop a team of Developers and QA professionals.
• Drive the adoption of AI-assisted development and testing tools.
• Support the modernisation and evolution of legacy software products.
• Promote engineering best practices, quality standards, and Agile delivery.
• Work closely with stakeholders to align engineering output with business priorities.
• Encourage a culture of innovation, continuous improvement, and technical excellence.
• Support test automation and quality improvement initiatives.

About You

• Proven experience leading software development teams.
• Strong software engineering background with previous hands-on development experience.
• Experience working within Agile/Scrum environments.
• Understanding of QA processes and software testing practices.
• Experience working with legacy systems and software modernisation projects.
• Passion for AI and its application within software engineering.
• Strong communication, leadership, and stakeholder management skills.
• Experience with AI development tools such as GitHub Copilot, Cursor, Claude, or ChatGPT.
• Experience within software product, SaaS, financial services, or insurance technology environments.

What's on Offer

• Competitive salary and annual bonus.
• Hybrid and flexible working.
• Ongoing learning and development opportunities.
• The opportunity to lead AI adoption and influence engineering transformation within a growing software business.