AI Delivery Architect

lumo.; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

lumo. is looking for a Senior Engineer-turned-Architect to help businesses integrate AI into their software development lifecycle. The ideal candidate will possess strong engineering and architectural skills, providing direct support to clients while also remaining hands-on with technology.

This role requires a proven track record in delivery and adaptability in learning new tools. The position is hybrid based in London, with some client travel involved. Join an innovative and fast-paced environment where you'll have the opportunity to shape AI delivery.

Qualifications

• Strong engineering background with a backend bias.
• Experience in architecture while staying hands-on.
• Record of learning new stacks and tools.

Responsibilities

• Work directly with client teams to understand their delivery processes.
• Evolve clients' AI software development lifecycle.
• Maintain hands-on experience with AI tooling.

Skills

Engineering background

Architecture knowledge

Credibility with technical leaders

Client-facing communication

Ability to use AI tooling

Tools

AI coding tools

Cloud infrastructure (GCP/AWS)

Terraform

Job description

Level: Senior — engineer‑turned‑architect, still hands‑on

Type: Permanent·Location: London (hybrid, some client travel)·

Reports to: Delivery Lead

About Lumo

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.

Why this role exists

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. If you don’t, but you have the engineering depth and a genuine track record of learning fast, we will back you to pick it up here. The experience is the hard part; the AI we can teach.

Here’s the context. 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.

What you’ll do

• Work with client teams. Sit alongside our clients’ engineers, architects, and product leads to understand how they deliver today and where AI changes the picture. Run working sessions, advise on practice and tooling, and translate the work for technical and non‑technical stakeholders without losing precision.
• 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. Show, don’t just tell. Use Claude Code, Devin, Cursor/Windsurf, and agentic workflows as a force multiplier. Know what to delegate to agents, what to keep yourself, what to put behind an eval, and what to throw away.
• Set credible technical direction. 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. We are a start‑up, so the shape of the team is still forming — you are comfortable with that.

What we’re looking for

Must‑have

• A strong engineering background, with a backend bias. 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.
• A track record of learning and adapting. This matters most. You can point to times you picked up an unfamiliar stack, tool, or way of working and shipped with it. You are self‑sufficient and you thrive in new delivery methods rather than waiting to be shown.
• Credibility with technical leaders. You have led delivery and can hold your own in a room with a client’s senior engineers — advising, challenging, and being trusted.
• Comfortable working directly with clients. 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.

Nice‑to‑have (and genuinely fine to learn on the job)

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.
• LLM application engineering — agent orchestration, RAG, structured outputs, evals.
• 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.

How you’ll know this job is for you

You like being the person clients trust to tell them the truth about how to build better — and then to roll up your sleeves and show them. 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.

How we work

• AI‑native delivery is the default. We are a small senior team because we orchestrate AI tooling well. If you would rather pretend that isn’t happening, this isn’t the place.
• Honest, not over‑sold. Our client posture is candid. We flag risk, recommend gates, and prefer documentation and handover over perpetual retainer. You’ll be expected to do the same.
• Fast paced. Change is relentless. Roles, teams, and methods are evolving — that is the opportunity, and it is why self‑sufficiency matters so much.