Enterprise Applied AI Engineer: Claude API Architect

FDE Times; New York (NY); Hybrid; USD 200,000 - 320,000; Full time

Job summary

Anthropic is seeking an Applied AI Engineer to serve as a trusted technical advisor to Enterprise Technology customers deploying the Claude API. You will design architectures, build evaluation frameworks, and guide customers through cutting-edge LLM implementations.

You will work with Sales, Product, and Engineering teams to shepherd a focused portfolio from discovery to deployment, balancing safety and reliability while communicating complex ideas clearly.

Qualifications

• 4+ years in technical roles with customer-facing responsibilities.
• Production experience with LLMs and prompt engineering.
• Proficiency in Python or TypeScript for production apps.
• Ability to navigate ambiguity and drive cross-functional work.
• Excellent communication with diverse stakeholders.

Responsibilities

• Serve as a trusted technical advisor to Enterprise customers deploying Claude-powered solutions.
• Translate customer requirements into technical architectures and pilots.
• Lead workshops, code reviews, and demonstrations with customer teams.
• Develop evaluation suites and curated prompts for client use cases.
• Document best practices for LLM prompting, evals, and architecture.
• Stay updated on the latest LLM capabilities and deployment patterns.
• Travel to customer sites for workshops and implementation support.
• Represent Anthropic at conferences and in technical blogs.

Skills

LLM deployment experience

Prompt engineering

Agent development

Evaluation frameworks

Python

TypeScript

Cross-functional collaboration

Communication skills

Education

Bachelor's degree

Tools

Claude API

Job description

Anthropic is seeking an Applied AI Engineer to serve as a trusted technical advisor to Enterprise Technology customers deploying the Claude API. You will design architectures, build evaluation frameworks, and guide customers through cutting-edge LLM implementations.

You will work with Sales, Product, and Engineering teams to shepherd a focused portfolio from discovery to deployment, balancing safety and reliability while communicating complex ideas clearly.