AI Solution Architect

Version 1 London, Birmingham, Manchester, Newcastle upon Tyne, Edinburgh, Belfast

As an AI Solution Architect,you’llwork with our government, financial services, and private sector clients to design and deliver AI solutions that solvereal business problems.

You’llbring together AI capabilities, sound solution design, and practical engineering experience to create production-grade systems that deliver measurable value — not proofs of concept that gather dust. Your work sits at the intersection of software engineering and AI, focusing on building scalable, secure systems that consume and orchestrate AI services rather than training foundation models from scratch.

One week you might be designing a RAG architecture for a government department’s knowledge management platform, the next you could be working with a financial services client to integrate agentic workflows into their existingoperations, orguiding a delivery team through implementing responsible AI patterns on a live service.

You’llestablisharchitecture patterns and standards that accelerate AI adoption across our client base, embedding governance frameworks and security controls into solution designs from the outset. Whetherthat’sevaluating the right AI platform for a client’s use case, designing data pipelines to support model deployment, or presenting your solution approach to an architectural review board,you’llbring both hands-on AI engineering experience and sound architectural judgement to every engagement.

Your background in solution architecture and building digital services means you understand how enterprise systems work in practice — andyou’veapplied that foundation to designing and delivering AI-powered solutions  know how to move from experimentation to production — designing integration patterns for AI services, building reliable pipelines, and ensuring solutions meet the non-functional requirements that enterprise clients demand around performance, security, and compliance.

You’llbring systems thinking that connects AI architectural decisions to broader service and business contexts, combined with a strong understanding of responsible AI principles including bias mitigation, transparency, and appropriate humanoversight. You collaborate effectively with diverse teams including data scientists, software engineers, product managers, and senior business stakeholders, translating complex AI concepts into language that supports informed decision-making at all levels.

As part of our central architecture team,you’llwork alongside experienced Technology Principals and Solution Architects who share your drive to solve complex challenges. This gives youa strong support network to collaborate with, learn from different perspectives, and tackle problems together. AI is moving fast, and we recognise that staying current matters —you’ll contribute to and shape our AI architectural approaches, share knowledge through internal sessions and technical documentation, and help build reference architectures that the wider organisation can draw on.

Yourexpertisehelps our clients adopt AI with confidence, building solutions that are not only technically sound but deliver meaningful outcomes for the people who use them.

• AI solution architecture— you havedemonstratedexperience designing and delivering AI-powered solutions at enterprise scale. You canevidencetaking responsibility for end-to-end AI solution design from requirements through to production, across use cases such as generative AI applications, RAG systems, agentic workflows, or AI-assisted automation. You understand the architectural patterns, trade-offs, and constraints involved in building production AI systems and can make informed decisions about when and how to apply AI to business problems.

Technical depth across cloud platforms— you have strong hands-on experience with cloud services and platforms, particularly across Microsoft Azure and AWS ecosystems. You can design integration patterns for AI workloads, applying modern software engineering practices including APIs, microservices, event-driven architectures, and Dev Ops.…