Applied Artificial Intelligence Architect (Startups)

Join Anthropic, a leading AI safety and research company, as an Applied Artificial Intelligence Architect. In this role, you will work closely with startups to help them build innovative LLM solutions on the Claude Developer Platform. You will serve as a trusted technical advisor, guiding startups from initial technical discovery through successful deployment and beyond. You will also gather insights on how startups are building with Claude and deliver feedback to the Product and Engineering teams.

- Gagner la confiance des fondateurs et des ingénieurs en tant que partenaire technique exceptionnel, en aidant les startups à construire avec succès sur la plateforme Claude. - Combiner une expertise technique approfondie avec une mentalité axée sur la construction pour aider les startups à architecturer des solutions LLM innovantes. - Travailler en étroite collaboration avec les équipes de vente, de produit et d'ingénierie pour guider les startups depuis la découverte technique initiale jusqu'au déploiement réussi.

- Passion for making powerful technology safe and societally beneficial - Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams - Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation - 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales - Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns - Track record of selling technical products in competitive markets - Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies - Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures - Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams - Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience - Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience - Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position - We encourage you to apply even if you do not believe you meet every single qualification