Claude AI Engineer — Customer-Facing Architect

Anthropic Limited

Greater London

Hybrid

GBP 110,000 - 160,000

Full time

18 hours ago
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Job summary

Anthropic is seeking an Applied AI Engineer on the Digital Native Business team to help fast-growing, tech-forward companies build products on Claude. You’ll provide architecture guidance and hands-on collaboration—from prototype to production at scale—with Kunden engineering teams.

You will partner with Account Executives and Applied AI Architects to drive technical evaluation, proof of value, and scalable adoption, while developing evaluation frameworks, reference architectures, and content

Qualifications

  • 4+ years as Software Engineer, Forward Deployed Engineer, or technical founder.
  • Experience in a customer-facing or pre-sales technical role.
  • Production experience building LLM-powered applications with prompting, context engineering, and deployment at scale.
  • Strong Python programming skills for production applications.
  • Experience with high-growth, tech-forward companies.
  • Ability to context-switch across industries and use cases.
  • Credibility speaking with technical founders and engineering leaders.

Responsibilities

  • Serve as a deep technical advisor to high-growth companies building innovative use cases for Claude.
  • Pair program, review architectures, and contribute code with customer engineering teams.

Skills

LLM apps
Python
Customer-facing
Architectural design
Pre-sales
Prototyping
Technical communication
Workshop facilitation
Cross-industry context

Job description

Anthropic is seeking an Applied AI Engineer on the Digital Native Business team to help fast-growing, tech-forward companies build products on Claude. You’ll provide architecture guidance and hands-on collaboration—from prototype to production at scale—with Kunden engineering teams.

You will partner with Account Executives and Applied AI Architects to drive technical evaluation, proof of value, and scalable adoption, while developing evaluation frameworks, reference architectures, and content

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