Level: Senior — engineer-turned-architect, still hands-on Type: Permanent · Location: London (hybrid, some client travel) · Reports to: Delivery Lead Lumo is an AI transformation consultancy. We help businesses embed AI into their SDLC, processes, and practices — from advisory through to hands-on application and data build. Our delivery model is AI-native: small senior teams orchestrating AI tooling (Claude, Claude Code, Devin, Cursor/Windsurf, agentic workflows) to ship work faster, leaner, and with more rigour than traditional consultancies. First, the most important thing: this role is built around a strong, experienced engineer-turned-architect — someone with real delivery behind them and the credibility that comes with it. You do not need to be an AI expert today. If you have deep AI tooling experience, brilliant. the AI we can teach. Our clients are trying to change how they build software — they want AI woven through their delivery lifecycle, not as a novelty, but as the default way their teams design, build, test, and ship. They need someone credible who can sit alongside their engineering and product leaders, work out what that actually looks like for them, and help them get there. Credibility is everything: you have shipped real systems, you have led delivery, and people listen to you because of it. You work directly with client teams in an advisory capacity, helping them evolve their AI SDLC — where AI tooling earns its keep, how delivery changes around it, what good looks like, and how to get there without breaking what already works. It is not a whiteboard-only solution architect role: you stay hands-on, with AI tooling doing serious work alongside you, because the point is to demonstrate the way of working, not just describe it. Whether you arrive already fluent in those tools or grow into them with us, the foundation is the same — proven engineering judgement and the appetite to keep learning. Sit alongside our clients' engineers, architects, and product leads to understand how they deliver today and where AI changes the picture. Help evolve their AI SDLC. Shape how AI tooling fits into a client's delivery lifecycle — design, build, review, test, release. Recommend where to lean in, where to be cautious, and what good looks like, then help them adopt it. Stay hands-on with AI. Bring architecture judgement built on real delivery — sensible system design, integration patterns, and trade-offs that hold up in production, not just on a slide. Partner with the Lumo delivery team. Work with our delivery lead and the wider team to scope engagements, raise risks early, and keep things moving. You came up building production systems — services, data, integration — and you have a deep appreciation for how technology actually gets delivered. A move into architecture, while staying hands-on. You took on architecture and led deliveries, but you never stopped building. You are not a diagrams-only architect. You can point to times you picked up an unfamiliar stack, tool, or way of working and shipped with it. You have led delivery and can hold your own in a room with a client's senior engineers — advising, challenging, and being trusted. You can run a working session, explain progress and trade-offs clearly, raise risks early, and adjust register for technical and non-technical audiences. Enough breadth to use AI across the stack. You don't need to be a specialist front-end engineer or platform engineer, but you understand front-end, IaC, and the broader stack well enough to direct AI tooling across them confidently. London-based and happy with hybrid working and occasional travel to client sites. We would love someone who already lives in AI tooling — but we know that person is rare. If you bring the engineering experience, the architecture judgement, and the track record of adapting, we will back you to pick up the AI side fast. So these are a bonus, not a barrier: Daily, sophisticated use of AI coding tools (Claude Code, Devin, Cursor/Windsurf, Copilot) with informed views on where each earns its keep. Prior consultancy or client-facing delivery experience. Cloud and data infrastructure depth (GCP/AWS, Terraform, CI/CD, warehouses, ETL). Front-end or IaC delivery experience to complement the backend core. You would rather learn a new tool and ship with it than defend the way you have always worked. And you are energised, not unsettled, by a start-up where the role will keep changing as AI delivery itself changes. AI-native delivery is the default. We are a small senior team because we orchestrate AI tooling well. We flag risk, recommend gates, and prefer documentation and handover over perpetual retainer.
AI Delivery Architect in London
