Solutions Architect, EMEA

present of AI; Greater London; Hybrid; GBP 85,000 - 120,000; Full time

Job summary

Exa is seeking a Solutions Architect in its go-to-market team who pairs deep technical skill with customer-facing work. You will scope integrations, write sample code, and help customers get an API into production, turning vague needs into concrete, scalable designs that fit real-world workflows across AI models and agents.

The role emphasizes clear communication of tradeoffs to both engineers and business buyers, and requires hands-on experience with retrieval and search patterns.

Qualifications

• Hands-on software experience with production-grade APIs.
• Ability to explain trade-offs to engineers and business buyers.
• Experience designing integrations for AI products.

Skills

Customer facing

APIs

Retrieval basics

Sample code

Job description

A solutions architect in a go to market team usually pairs deep technical skill with customer facing work: scoping integrations, writing sample code, and helping customers get an API into production. A strong candidate brings hands on software experience, comfort explaining technical tradeoffs to both engineers and business buyers, and the ability to turn vague customer needs into working designs. For a search API built for AI models and agents, that means understanding how retrieval fits into AI applications and being able to show it working.

How it fits the AI era

AI is changing this work because customers now arrive with AI features already in mind and expect help wiring retrieval and search into models and agents. The architect spends less time on basic setup and more on design questions like relevance, evaluation and reliability. What stays human is judgment about the customer's real problem, trust building, and clear explanation of tradeoffs.

How it builds AI experience

The role offers direct exposure to how AI models and agents use search, including retrieval quality, evaluation and API integration patterns. That experience is built by working on real customer integrations and studying how retrieval affects model output. Candidates can strengthen it with personal projects that connect a model to a search API and measure the results.

Worth showing

• Customer facing technical work
• Retrieval and search basics
• Sample code and demos
• Clear technical explanation

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Exa

Exa is an applied AI lab that builds a search engine and API for AI models and agents, per the company.