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Davis seeks an architect to size capacity across multiple programs, from light-industrial and logistics to residential, office and retail. Target experience is around 5 to 6 years. You will bridge architectural excellence with AI-driven tools, delivering quick, credible capacity analyses and schematic designs.
Office-based role in Paris with a focus on rapid output, cross‑functional collaboration, and relentless quality. Proficiency in Rhino and Revit is essential; AutoCAD expected.
TLDR; Davis is looking for an architect who has sized capacity across several programs, from light-industrial and logistics to residential, office and retail, and who wants to practice differently than in a traditional firm. Target experience: around 5 to 6 years.
Davis is an AI-native real estate company accelerating early-stage development and architectural design. Today developers coordinate 4-5 fragmented stakeholders over weeks or months. Soon they'll need only one: Davis.
We turn every input that shapes a development decision into decision-ready outputs: investor-grade feasibility studies, investment analysis, and architect-certified designs, delivered in days. Every stage pairs our proprietary AI systems with expert review, so velocity never comes at the cost of reliability.
We closed a $5.5M pre-seed co-led by Heartcore Capital and Balderton Capital, with Yellow, Evantic and Entrepreneurs First, alongside angels from the founding teams of Spacemaker, Black Forest Labs, Hugging Face, Supabase, Cleo and Spore Bio. We already work with leading developers and expect to support hundreds of projects over the coming year, deepening our research, our hiring, and our coverage of the development process end to end.
Our clients come to us with a site and a capacity question, on a program that changes from one deal to the next. You are the one who answers whatever the program, and who stands behind the number in front of them.
You will run a portfolio of feasibility studies across light-industrial and logistics, residential, office, hospitality, retail and mixed‑use operations. You take these projects from feasibility through schematic design.
This role sits at the meeting point of two worlds Davis is precisely working to bring together: architectural expertise and artificial intelligence. This is not a conventional architect position. It spans three complementary dimensions: guaranteeing the architectural quality and credibility of our deliverables, today generated in a matter of hours; co‑producing the architectural drawings that accompany them; contributing actively to the development of our plan‑generation technology.
It is an architect role whose impact reaches well beyond its own output.
Mehdi (CEO) grew up in a family of architects and has lived this problem firsthand. He's a repeat founder who bootstrapped his first startup at 20, and graduated from Sciences Po and HEC Paris. Amine (CTO) is an AI researcher from École Polytechnique who worked extensively on discrete diffusion and turned down a PhD with Google DeepMind to build Davis. They started working together in July 2025 at Entrepreneur First's first European residency, a two‑month lock‑in in a German castle.
Today we're a team of 12: technical profiles from Polytechnique, ENS and INRIA alongside architects and deep real estate expertise.
We're small with an extremely high bar. If you want to work deeply on hard problems and see your work reach clients within days, you're the one we need.
Real estate is a $13 trillion industry that technology has largely bypassed. The professional services that feed it (design, engineering, feasibility, permitting) represent hundreds of billions in spend that no one has seriously automated.
Proptech spent the last decade selling SaaS on the edges of these workflows. It didn't work, for two reasons: no professional wants another tool to learn, and no tool can automate work that runs on expert judgment. Davis makes a different bet. We don't sell tools, we sell the work: AI‑generated, expert‑validated, delivered in days instead of weeks. Every project compounds our data advantage across typologies, geographies and regulatory contexts.
If you're drawn to what we're building but don't meet every requirement, we still want to hear from you. Studies show that women in particular tend to apply only when they meet 100% of the criteria. If that's you, please don't let that hold you back. We'd love to receive your application.