Applied AI Engineer, Enterprise Tech

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><p><strong>About the role:</strong></p> <p>As a member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to Digital Native Businesses - technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting-edge implementation patterns for LLMs.</p> <p>Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of Claude APIs and move their products closer to the frontier, while maintaining our high standards for safety and reliability.</p> <p><strong>Responsibilities:</strong></p> <ul> <li>Serve as a specialist technical advisor to Anthropic customers as they deploy new products &amp; workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success</li> <li>Partner with account executives and solutions architects to translate customer business requirements into technical solutions</li> <li>Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites</li> <li>Lead hands-on technical workshops and code reviews with customer engineering teams</li> <li>Identify common design patterns and contribute insights back to our Product and Engineering teams</li> <li>Create scalable public and internal assets, documenting the latest LLM prompting, evaling, agentic, and architecture techniques</li> <li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</li> <li>Travel occasionally to customer sites for workshops, implementation support, and building relationships</li> <li>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</li> </ul> <p><strong>You may be a good fit if you have:</stro