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Forward Deployed Engineer

CompraTica Empleos

EMP:Technology
London
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Descripción

<p><strong>Department Overview:</strong></p> <p>The AI Team, part of Front Office Technology, builds the governed foundation for AI across the firm: secure access to firm data and knowledge, standard tooling, reusable AI services, and the controls that let AI be used safely in a regulated trading environment.

 </p> <p>Our model is simple.

Pods build close to the problem, Technology provides the paved road, and successful applications graduate into formal Technology ownership as they grow in importance.

</p> <p>The AI Team, part of Front Office Technology, builds the governed foundation for AI across the firm: secure access to firm data and knowledge, standard tooling, reusable AI services, and the controls that let AI be used safely in a regulated trading environment.

 </p> <p>Our model is simple.

Pods build close to the problem, Technology provides the paved road, and successful applications graduate into formal Technology ownership as they grow in importance.

</p> <p> </p> <p><strong>Key.

Responsabilidades

Embedded delivery 

  • Scope pod use cases that need engineering build, working directly with PMs, traders and quants. 
  • Build production-grade applications using AI-assisted development (e.g

    Claude Code) on the firm’s standard AI tooling: templates, CI/CD, the Institutional Knowledge Layer, MCP services and shared libraries.

     </li> </ul> <p><strong>Engineering standards in the pod</strong> </p> <ul> <li>Pair with pod developers on live builds, sharing good practice in design, code review, testing and safe use of agentic coding tools.

     </li> <li>Leave the pod able to extend and maintain what has been built, rather than dependent on you.

     </li> </ul> <p><strong>Shared capability and reuse</strong> </p> <ul> <li>Turn repeated pod.

    Requisitos

    into reusable MCP servers,

    Habilidades

    , agents and templates, available for use across the firm. 
  • Feed engineering gaps a...

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