Key Responsibilities
- Define and evolve the overall software architecture and technology vision for the organisation.
- Provide deep technical guidance to multiple engineering teams across projects.
- Lead the design and delivery of large-scale distributed systems that integrate AI and data services.
- Champion engineering excellence, establishing standards for code quality, performance, and reliability.
- Collaborate with product and AI leadership to align software strategy with company goals.
- Review and approve major architectural decisions and technology selections.
- Mentor and coach Lead Engineers, elevating technical capability across the organisation.
- Evaluate emerging technologies and introduce innovative approaches that improve our software delivery.
- Ensure best practices in security, observability, CI/CD, and cloud infrastructure are embedded throughout the engineering function.
- Represent the engineering organisation externally — at conferences, client meetings, and community events.
Requirements
- 8+ years' experience designing, building, and scaling enterprise‑grade software systems.
- Deep technical expertise across the full stack, with mastery in Python, TypeScript/React, and cloud‑native architectures.
- Proven experience architecting distributed systems and integrating AI services or data platforms.
- Experience setting technical direction, establishing patterns, and guiding multiple teams.
- Strong understanding of DevOps, infrastructure as code, and microservices design.
- Track record of mentoring senior engineers and leading technical communities.
- Exceptional problem‑solving and communication skills, with the ability to influence at all levels.
- Strategic thinker – capable of balancing innovation, quality, and delivery speed.
The Mindset We Value
Relentless Innovation – We're looking for individuals who are constantly exploring the edges of what's possible with AI. You should be the type who stays up late testing new approaches just to see what might work.
Flexible Methodology – Traditional development approaches don't always apply to AI. We need people who can adapt their working methods to the unique characteristics of AI systems, embracing experimental approaches when appropriate.
“Can Do” Attitude – When faced with a seemingly impossible challenge, your response should be “let's figure out how” rather than “it can't be done.” We value determined problem‑solvers who find a way forward.
Balanced Perspective – While pushing boundaries, you must maintain a grounded understanding of enterprise realities, balancing innovation with practical implementation.
Growth Opportunities
- Develop expertise with emerging AI models and capabilities before they reach mainstream adoption.
- Create intellectual property and novel implementation approaches.
- Work across multiple industries to develop deep domain expertise.
- Contribute to the evolution of our proprietary AI methodology.
- Participate in the AI research community and establish thought leadership.
- Shape new AI services and capabilities within our Pathway platform.
This role is hybrid and we come into our London based office 3 days a week.
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