Commercial AI Solutions Architect – Claude (Pre-Sales)

Anthropic Limited; New York (NY); Hybrid; USD 240,000 - 315,000; Full time

Job summary

Anthropic Limited seeks an Applied AI Commercial Solutions Architect to be a trusted technical advisor helping customers integrate Claude. You will work closely with Sales, Product, and Engineering to design scalable architectures and eval frameworks that maximize Claude's value in customer environments.

This role requires strong coding ability in Python, hands-on prototyping, and a proven track record in building scalable cloud solutions across diverse enterprise stacks.

Qualifications

• 3+ years of highly technical software engineering experience or 3+ years in a related architectural role
• Proven ability to ship prototypes and work with codebases
• Experience designing scalable cloud architectures

Responsibilities

• Partner with account executives to translate customer requirements into technical solutions
• Serve as primary technical advisor during Claude adoption
• Support customers building with Claude API, Claude Code, and Claude for Enterprise
• Ship working code and develop eval frameworks
• Build reusable blueprints, demos, and enablement assets
• Guide architectural decisions and integration with existing tech stacks
• Help customers develop evaluation frameworks to measure Claude's performance
• Identify integration patterns and contribute to product/engineering teams
• Travel to customer sites for workshops and deep dives

Skills

Python

Customer-facing collaboration

Technical architecture

Cloud architectures

Education

Bachelor's degree

Tools

Claude API

Claude Code

Claude for Enterprise

Job description

Anthropic Limited seeks an Applied AI Commercial Solutions Architect to be a trusted technical advisor helping customers integrate Claude. You will work closely with Sales, Product, and Engineering to design scalable architectures and eval frameworks that maximize Claude's value in customer environments.

This role requires strong coding ability in Python, hands-on prototyping, and a proven track record in building scalable cloud solutions across diverse enterprise stacks.