Forward Deployed Engineer

London (hybrid, with a new London office opening) | £115k–£140k base + bonus + equity

The company

A fast-growing, US-headquartered AI company is opening its London office. Its platform helps large enterprises make better business decisions by combining structured, rules-based reasoning with AI, so the decisions can be explained and audited. It’s already working with major enterprise clients, and the UK team is just getting started.

The role

You’ll own the client room and the data. You’ll work directly with clients to understand how they make decisions, connect to their data and build solutions on the platform: workflows, integrations and front ends. Early on, core engineering leads the deeper platform and data-modelling work. As the team grows, you’ll take on more of it yourself.

• A 3-day on-site kickoff covering data access, data mapping and the groundwork for the client’s business model
• A 3-month pilot with up to 2 site visits, which then converts to an annual contract with roughly quarterly check-ins
• Around 6 client visits a year in total

What you’ll bring

• You build across the full stack on your own. You’ve personally built APIs, backends, databases and deployments, and you could stand up a client-facing service with no one else.
• You’ve worked with client data. You’ve pulled data from systems you didn’t control, then cleaned, validated and mapped it, and kept it refreshing.
• You’ve led client engagements. You have at least 2 years working directly with external business leaders (VP, Director or C-suite). You’ve run engagements from discovery through to delivery, and you can explain technical work in plain English.
• At least one delivery for an insurance client, such as underwriting, claims or policy data
• Around 3+ years of professional engineering experience
• A real desire to work with clients, not just to change jobs

Nice to have

• Data science, such as building scores, models and weightings from client data
• Front-end development
• Experience designing schemas, rules engines or knowledge graphs

Backgrounds that tend to do well

Forward deployed, solutions or implementation engineers who write production code. Backend or full-stack engineers who have worked with external clients. Data engineers with real client exposure. Founding or early engineers who owned both the build and the customer relationship.