Chief AI Transformation & Platform Leader

Echelon

Greater London

Híbrido

GBP 150 000 - 190 000

Tempo integral

14 dias+

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Resumo da oferta

Echelon is seeking a senior engineering leader to own applied AI engineering, shaping architecture, platform roadmap and delivery across strategic engagements in London and globally. You will recruit and mentor forward deployed engineers, drive enterprise-grade production systems, and partner with customers and executives to ensure secure, scalable AI deployments.

You will stay hands-on when needed, mentoring teams while setting the standard for AI safety, observability and data residency.

Qualificações

  • 6+ years in engineering with leadership of production systems
  • Experience leading teams that ship enterprise-grade AI deployments
  • Hands-on with AI-native depth and safe, observable systems
  • Experience in complex enterprise or government deployments

Responsabilidades

  • Define the technical direction for engagements: architecture, model choices, build/buy decisions
  • Hire and lead engineers; design pods, set hiring bar and career paths
  • Own the technical quality of deployments from prototype to production
  • Lead technical pre-sales, architecture reviews and solution design with customers
  • Set engineering, security and data baselines for deployments
  • Ensure handover with documentation, monitoring and training
  • Shape platform roadmap and repeatable delivery patterns
  • Build and manage technical partnerships across engagements

Conhecimentos

Leadership
AI/ML systems
Distributed systems
Executive communication
Cloud & on‑prem

Formação académica

PhD in AI/CS

Ferramentas

Python
Cloud platforms
LLM tooling

Descrição da oferta de emprego

Echelon is seeking a senior engineering leader to own applied AI engineering, shaping architecture, platform roadmap and delivery across strategic engagements in London and globally. You will recruit and mentor forward deployed engineers, drive enterprise-grade production systems, and partner with customers and executives to ensure secure, scalable AI deployments.

You will stay hands-on when needed, mentoring teams while setting the standard for AI safety, observability and data residency.

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