Forward-Deployed AI Engineer for Design Tech

Foster + Partners

Greater London

On-site

GBP 90,000 - 140,000

Full time

43 hours ago
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Benefits offered by this job

private medical insurance
life assurance
personal travel insurance
wellbeing support (virtual GP, mental)
discount programmes
catering facilities on campus
social events and sports activities
professional development support

Job summary

Foster + Partners seeks a Forward Deployed AI Engineer in London to lead end-to-end AI projects for design workflows. You will translate complex requirements into production-ready tools and agents, collaborating with architects, designers and business teams.

You'll integrate with Rhino and Revit ecosystems, evaluate LLM-driven workflows and contribute reusable components to shape AI adoption across the practice.

Qualifications

  • Degree in computer science, software engineering or equivalent.
  • Strong programming skills in Python and C#, with TypeScript advantageous.
  • Hands-on experience with RhinoCommon, Grasshopper SDK or Revit API.

Responsibilities

  • Lead full lifecycle of AI solutions from discovery to deployment.
  • Collaborate with architects, designers and business teams to deliver AI tools.
  • Develop production-ready AI tools and agents for design workflows.
  • Build integrations with design platforms and evaluate agent workflows.
  • Translate user needs into reliable software solutions with non-technical stakeholders.

Skills

Python
C#
TypeScript
LLM applications
Tool calling / AI agent workflows
Stakeholder communication

Education

Degree in computer science or software engineering

Tools

RhinoCommon SDK
Grasshopper SDK
Revit API

Job description

Foster + Partners seeks a Forward Deployed AI Engineer in London to lead end-to-end AI projects for design workflows. You will translate complex requirements into production-ready tools and agents, collaborating with architects, designers and business teams.

You'll integrate with Rhino and Revit ecosystems, evaluate LLM-driven workflows and contribute reusable components to shape AI adoption across the practice.

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