Applied AI Architect, Commercial

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. About the Role As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. As a Commercial Solutions Architect, you'll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude's reach across the broader Commercial book of business. Responsibilities: • Partner with account executives to translate customer requirements into technical solutions • Serve as the primary technical advisor to customers throughout their Claude adoption journey • Support customers building with the Claude API, Claude Code, and Claude for Enterprise • Ship working code: build prototypes, proof-of-concepts, and eval frameworks • Build reusable blueprints, demos, and enablement assets that scale across customers • Guide technical architecture decisions for Claude integrations • Help customers develop evaluation frameworks for their specific use cases • Travel occasionally to customer sites for workshops and relationship building

• 3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience • A builder identity — has shipped real software and has technical taste • Systems mindset: instinct to build reusable solutions • Strong proficiency in Python and/or another programming language • Experience with LLM APIs, prompt engineering, and/or agentic systems • Exceptional communication skills across technical and executive audiences • Passion for AI safety and beneficial AI development