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Anthropic is seeking an Applied AI Architect to serve as a trusted technical advisor for enterprise customers adopting Claude AI. In this pre-sales role, you'll combine deep technical expertise with customer-facing skills to architect innovative LLM solutions addressing complex business challenges.
You will partner closely with account executives, sales, product, and engineering teams to guide customers from initial technical discovery through successful deployment. Your responsibilities include understanding customer requirements and translating them into scalable technical solutions, serving as the primary technical advisor throughout the Claude adoption journey, and supporting customers building with both the Claude API and Claude for Work.
Key responsibilities include creating and delivering compelling technical content tailored to different audiences—from technical deep dives for engineering teams to business-value conversations with executives. You'll guide architecture decisions, help customers integrate Claude into existing technology stacks, develop evaluation frameworks to measure Claude's performance for specific use cases, and identify common integration patterns to share insights with internal product and engineering teams. You'll also travel occasionally to customer sites for workshops and relationship building, and maintain strong knowledge of the latest LLM capabilities and implementation patterns.
You should have 5+ years in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager. Native or C1-level German with fluent English is required. You'll need experience with enterprise customers navigating complex buying cycles, exceptional ability to communicate technical concepts to diverse stakeholders including C-suite executives and engineering teams, and strong skills designing scalable cloud architectures and integrating with enterprise systems. Python proficiency and familiarity with LLM frameworks, machine learning, or data science are expected. You should be comfortable with cross-organizational collaboration, enjoy teaching and mentoring, and are passionate about safe and beneficial AI.
