Enterprise AI Engineer & Claude API Advisor

Fdetimes

San Francisco (CA)

Hybrid

USD 200,000 - 320,000

Full time

14 days+

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Job summary

Anthropic is seeking an Applied AI Engineer to serve as a trusted technical advisor for Enterprise Technology companies adopting the Claude API. You will shape architectures, build evaluation frameworks, and guide customers through practical LLM deployment patterns while upholding high safety and reliability standards.

You will work with Sales, Product, and Engineering teams to shepherd a focused set of customers from technical discovery to successful deployment.

Qualifications

  • 4+ years in technical roles with customer impact.
  • Production experience with LLMs, including evaluation and deployment.
  • Strong programming skills in Python or TypeScript.
  • Ability to translate customer needs into technical solutions.
  • Excellent communication for diverse stakeholders.
  • Interest in safe, beneficial AI and enterprise adoption.

Responsibilities

  • Advise Enterprise customers on architecture and deployment of Claude-powered solutions.
  • Collaborate with Sales, Product, and Engineering to guide customer success.
  • Develop evaluation frameworks and pilots to validate customer applications.
  • Lead technical workshops and code reviews with customer teams.
  • Create scalable assets documenting prompting, evaluation, and architecture techniques.
  • Stay updated on latest LLM capabilities and AI product development stacks.
  • Travel occasionally for workshops and on-site support.
  • Engage with conferences, blogs, and white papers on AI topics.

Skills

4+ years experience
LLM production experience
Python/TypeScript
customer-facing skills
cross-team collaboration
communication skills
ambition to advance safe AI

Tools

Claude API

Job description

Anthropic is seeking an Applied AI Engineer to serve as a trusted technical advisor for Enterprise Technology companies adopting the Claude API. You will shape architectures, build evaluation frameworks, and guide customers through practical LLM deployment patterns while upholding high safety and reliability standards.

You will work with Sales, Product, and Engineering teams to shepherd a focused set of customers from technical discovery to successful deployment.

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