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Exa

Solutions Architect, EMEA

Exa is hiring a Solutions Architect, EMEA in London, United Kingdom. It pays £150k-£220k a year and Level rates it ; you can apply on Exa.

Level's read on this job

  • On Level's scale, this solutions architect role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include RAG.
  • Level classifies it as a mid-level role.
  • Level lists 60 other open roles at Exa.
  • The role was posted in the last few days.

AI in this role

rag

About Exa

We raised a $250M Series C to build the search engine for AIs. Led by a16z, with existing investors Benchmark, Lightspeed, and YC doubling down, the round brings Exa's valuation to $2.2 billion.

Exa is building a search engine for the AI era. Our Search API currently powers Agents, Fortune 500s, and AI labs as we transform an industry that hasn't been disrupted since the 90s. We're a largely SF-based team of ~100 from Harvard, MIT, Meta, Google Research, ex-founders, and dropouts alike. We are rapidly building the most intelligent search engine in history. We're high agency, low-ego, and united by the feeling that this is one of the last problems worth getting right.

About the Role

Solutions Architects are the technical tip of the spear in Exa's presales motion. From the first call to the technical win, you're the person who shows prospects what Exa can do and proves it works for their use case. You partner with Account Executives on new accounts and new opportunities, and you're measured on technical wins, POC conversion, and pipeline velocity. You'll cover accounts across EMEA from our London office.

You'll run discovery with engineers and executives, build demos that land, design and run workshops and proofs of concept, and make the technical case for Exa against alternatives. When a deal needs specialist depth, you pull in our Forward Deployed Engineers. When a deal closes, you hand the customer off to them with everything they need to get to production fast. This is not a demo-only role. You are an engineer who sells.

In this role, you will:

  • Lead the technical side of new opportunities alongside Account Executives, from first call through technical win

  • Run discovery to understand a prospect's use case, architecture, data needs, and success criteria, and qualify where Exa fits

  • Build and deliver tailored demos, sample apps, and prototypes that show what Exa can do on the prospect's own problem

  • Design and run workshops and POCs with clear success criteria, timelines, and evaluation plans, then drive them to a decision

  • Win technical evaluations by benchmarking Exa on quality, latency, and cost, and making a clear case against alternatives

  • Handle technical objections and answer security, compliance, and architecture questions

  • Bring in Forward Deployed Engineers as specialists when a deal needs deeper expertise, and run a clean handoff to them after close

  • Feed market signal back to Product: what prospects ask for, where we lose, and what would help us win

  • Build reusable pre-sales assets such as demo environments, reference architectures, and evaluation playbooks

Requirements

  • Several years of hands-on programming experience. You can build compelling demos, implement POCs end to end, and design and run rigorous evals in head-to-head competitive scenarios

  • 2+ years of hands-on presales or technical sales experience, ideally at an AI-native or developer-first company. You've owned the technical side of deals, run discovery and demos with technical buyers, and helped carry opportunities to close

  • Strong communication skills: you can adapt your pitch to CTOs, engineers, and PMs alike, and explain complex technology simply

  • Track record of high performance in demanding environments, whether that's a top CS program, a competitive sport, a startup, or something else entirely

  • High tolerance for context-switching, ambiguity, and sustained intensity

  • Willingness to travel as needed for customer meetings and workshops

You might excel if you...

  • Have worked as a solutions architect, solutions engineer, or sales engineer at a developer-tools, API, or AI company

  • Have built with LLMs, RAG, or agents and can talk credibly about retrieval and search quality

  • Have helped close revenue or driven commercial outcomes at a previous company

  • Thrive in early-stage environments where your job description changes monthly

  • Love the moment a prospect sees a demo and gets it

  • Care deeply about the problem of organizing the world's knowledge and making it accessible to machines

This is an in-person opportunity in London.

Exa is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, veteran status, marital status, pregnancy or related conditions, criminal histories consistent with applicable law, or any other basis protected by applicable law.

How we rate this

Solutions Architect, EMEA at Exa rates 78 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAG

Also common in solutions architect jobs at this level

Pay

Typical solutions architect job
$168k

Use the typical solutions architect figure as a reference when pay comes up. See solutions architect jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. Describe a typical day in a role like this one: which parts run through AI directly?
  3. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: RAG. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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