Solutions Architect in London

Solutions Architect Simple Machines London, England, GB
Solutions Architect
About Simple Machines
Simple Machines is a leading independent boutique technology firm with a global footprint across London, Poland, Sydney and New Zealand. We are a team of creative engineers and expert technologists working at the intersection of data, AI, data engineering and software engineering. We partner with enterprises, technology companies and governments to design and build bespoke data platforms, intelligent systems and high-impact software products that bring data to life.
The Role
We're looking for an experienced Solutions Architect to join our London team. You'll design large-scale, data-intensive platforms and intelligent systems for ambitious enterprise clients, working on hard problems: real-time systems operating at significant scale, complex integration landscapes, and platforms where data and machine learning drive customer-facing outcomes.
This is a hands-on architecture role embedded in an established delivery team. You'll own solution designs end-to-end: shaping how new capabilities are architected, producing clear design documentation, and working with engineers, product managers, and client stakeholders to carry those designs through to production.
This is a client-facing role. You'll spend much of your time working inside the client's organisation, alongside their architects, governance functions, business owners, and third-party vendors as well as our own delivery team. That takes someone who can win trust quickly, build consensus across groups with competing priorities, and push back when it matters.
What You'll Be Doing
Design solutions across large-scale enterprise platforms: APIs, integrations, data flows, and the supporting cloud infrastructure
Translate ambiguous business requirements into well-documented architectures that engineering teams can build from
Present and defend designs with senior client stakeholders, including enterprise architects, programme leadership, and business owners
Work within client governance processes such as architecture review boards, security reviews, and integration standards
Collaborate day to day with engineers, data scientists, and product managers in an Agile delivery model
Balance strategic direction with pragmatic delivery, judging when to invest in long-term design and when to ship
Contribute to the wider architecture practice at Simple Machines through standards, reusable patterns, and ways of working
The Team
You'll join a high-performing, multi-disciplinary team delivering a large-scale machine learning platform for a global telecommunications client. The team operates with high autonomy and shared ownership, and works in a hybrid setup with both remote and in-person collaboration with client stakeholders.
Requirements
What We're Looking For
Core Experience
Significant experience as a Solutions Architect on large-scale enterprise platforms, with designs you have taken from concept through to production
A consultancy background, or experience that closely resembles one: client-facing delivery, multiple engagements or programmes, and comfort operating inside someone else’s organisation
A proven track record of managing complex stakeholder landscapes, aligning technical and business audiences with competing priorities
Strong grounding in distributed systems, API design, and integration architecture
Strong grounding in data processing, data warehousing, sql, no sql, data pipelines
Excellent written and verbal communication, including clear and well-structured design documentation
Sound judgement on trade-offs across cost, risk, delivery speed, and long-term maintainability
A software engineering background, able to discuss details and technicalities with the engineering team to bring solutions to life grounded in the capabilities and constraints of the projects.
Experience architecting cloud-native platforms on a major public cloud
Understanding of containerised and orchestrated deployments (Docker, Kubernetes, or equivalent) at an architectural level
Nice to Have
Experience with decisioning, next-best-action, or personalisation platforms, or the broader martech and commercial platform space
Telecommunications experience, or experience in similarly large, regulated enterprise environments
Familiarity with the JVM ecosystem and event-driven architectures
Exposure to pricing, product catalogue, or commercial configuration systems
Experience applying machine learning outputs within real-time customer-facing systems
Experience with agentic solutions
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