Forward‑Deployed AI Field Engineer — Client Deployments

Anthropic Limited

Paris

Hybride

EUR 90 000 - 120 000

Plein temps

Il y a 5 jours
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Résumé du poste

Anthropic is seeking a Forward Deployed Engineer to embed with our most strategic customers, delivering production AI applications built on Claude models. You’ll work across Post-Sales, Product, and Engineering to understand workflows, deploy artifacts, and champion safe, reliable AI in enterprise settings.

You will travel up to 50% and collaborate with diverse teams to shape our forward-deployed motion while operating with autonomy in ambiguous environments.

Qualifications

  • 4+ years in a technical, customer facing role.
  • Native French speaker with fluent English.
  • Production experience with LLMs including advanced prompt engineering and deployment at scale.
  • Strong programming skills in Python and at least one other language (TypeScript/Java).

Responsabilités

  • Embed with customers to ship production AI applications built on Claude models.
  • Deliver technical artifacts (MCP servers, sub-agents, agent skills) for production workflows.
  • Provide white glove deployment support in enterprise environments.
  • Identify repeatable deployment patterns and share insights with Product & Engineering.
  • Maintain knowledge of latest LLM developments and AI product stacks.
  • Build long-term customer relationships and identify new AI deployment opportunities.
  • Travel 25–50% to customer sites for hands-on engagement.
  • Champion Anthropic’s mission in the field.

Connaissances

French native
English fluent
Python
TypeScript
Java
LLM deployment
Agent development

Formation

Bachelor's degree

Description du poste

Anthropic is seeking a Forward Deployed Engineer to embed with our most strategic customers, delivering production AI applications built on Claude models. You’ll work across Post-Sales, Product, and Engineering to understand workflows, deploy artifacts, and champion safe, reliable AI in enterprise settings.

You will travel up to 50% and collaborate with diverse teams to shape our forward-deployed motion while operating with autonomy in ambiguous environments.

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