Applied AI Engineer, Enterprise Tech

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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: 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. 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. Responsibilities: Serve as a specialist technical advisor to Anthropic customers as they deploy new products & workflo [... source excerpt omitted ...] : from discovery through deployment, coordinating internally across multiple teams to drive customer success Partner with account executives and solutions architects to translate customer business requirements into technical solutions Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites Lead hands-on technical workshops and code reviews with customer engineering teams Identify common design patterns and contribute insights back to our Product and Engineering teams Create scalable public and internal assets, documenting the latest LLM prompting, evaling, agentic, and architecture techniques [... source excerpt omitted ...] od fit if you have: 4+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers. Former technical founders are also encouraged to apply. Production experience with LLMs including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale Strong programming skills with proficiency in Python or TypeScript and experience building production applications Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems High cooperati