Назад
6 часов назад

Director, Forward Deployed Engineering (AI)

Тип работы
fulltime
Грейд
director
Английский
c1
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Director, Forward Deployed Engineering (AI): Overseeing the deployment of production-ready AI agents for Fortune 500 enterprises with an accent on full-stack technical oversight and strategic customer delivery. Focus on scaling high-performing engineering teams and transforming field-derived insights into reusable platform capabilities.

Location: London, UK

Company

Scale AI develops reliable AI systems and high-quality data technologies to power leading models for the world's most important enterprises and governments.

What you will do

  • Own end-to-end delivery for the largest strategic accounts, managing scope, sequencing, and execution to drive production adoption.
  • Hire, develop, and scale a world-class team of Forward Deployed Engineers, establishing hiring standards and career frameworks.
  • Provide holistic technical oversight across the AI stack, including agents, models, backend services, data pipelines, and cloud infrastructure.
  • Partner with Product and Platform teams to codify repeatable field patterns into reusable platform capabilities and playbooks.
  • Forge trusted relationships with senior executive stakeholders at Fortune 500 customers to translate business problems into technical roadmaps.
  • Enforce production excellence by setting standards for reliability, security, observability, and evaluation of deployed systems.

Requirements

  • 10+ years of software engineering or technical delivery experience.
  • 3+ years of experience leading high-performing customer-facing engineering teams (e.g., Forward Deployed or Solutions Engineering).
  • Hands-on fluency with the full AI stack: LLMs, agent systems, evaluation frameworks, and API design (Python or TypeScript).
  • Proficiency with data systems (PostgreSQL, DynamoDB, MongoDB) and cloud infrastructure (AWS, Azure, or GCP) including Kubernetes and Docker.
  • Proven experience deploying AI into complex enterprise environments, navigating security reviews, SSO, and compliance requirements.
  • Location: Must be based in London, UK

Culture & Benefits

  • High-autonomy environment promoting a founder-mindset and bias toward action.
  • Opportunity to work at the intersection of research breakthroughs and production-ready enterprise systems.
  • Inclusive and equal opportunity workplace committed to diversity and reasonable accommodations.
  • Exposure to high-stakes deployments for some of the world's largest enterprises and government agencies.

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