Forward Deployed Engineer, Applied AI

Anthropic Anthropic · AI Frontier · San Francisco, CA · Applied AI

Forward Deployed Engineer to embed with strategic customers, drive AI adoption, and ship advanced AI applications using Claude models. Responsibilities include building production applications, delivering technical artifacts like sub-agents, providing deployment support, identifying deployment patterns, and maintaining knowledge of LLM capabilities. Requires 3+ years in a technical, customer-facing role with production LLM experience, strong Python skills, and high agency.

What you'd actually do

  1. Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
  2. Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.
  3. Provide white glove deployment support for Anthropic products in enterprise environments.
  4. Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.
  5. Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.

Skills

Required

  • Python
  • LLM production experience
  • advanced prompt engineering
  • agent development
  • evaluation frameworks
  • deployment at scale
  • shipping production applications
  • high agency
  • communication skills

Nice to have

  • Typescript
  • Java
  • financial services experience
  • healthcare/life sciences experience
  • enterprise vertical experience
  • enterprise IT systems experience
  • AI deployment patterns experience
  • FDE experience
  • professional services context experience

What the JD emphasized

  • production applications
  • agent development
  • evaluation frameworks
  • deployment at scale
  • customer-facing role
  • production applications
  • enterprise environments
  • AI deployment patterns

Other signals

  • customer-facing role
  • production applications with LLMs
  • agent development
  • deployment at scale