Anthropic· Sales· London, UK
Applied AI Engineer
Classified Tasks (17)
Automate 0%Augment 53%Human-Only 47%
Augment (9)
AI assists, human decides
Advise customers on agent design, prompting strategies, and context engineering for LLM-powered applications
technical
Conduct architecture reviews of customer systems and recommend scalable design changes
technical
Contribute code to customer projects to accelerate development and integration with Claude
technical
Develop prototypes that demonstrate application architectures and AI-driven use cases
technical
Design scalable architectures for production deployment of Claude-based applications
technical
Develop custom evaluation frameworks and evaluation suites to measure model and system performance
analytical
Create technical documentation including architecture diagrams, AI engineering techniques, and evaluation reports
communication
Produce developer-facing technical content such as tutorials, sample code, and documentation
communication
Identify patterns and recurring issues across customer engagements and report insights back to Product, Engineering, and the Applied AI team
analytical
Human-Only (8)
Requires human judgment
Serve as a deep technical advisor to high-growth, tech-forward companies building on the Claude Developer Platform
leadership
Lead deep technical engagements and guide customers through implementation and deployment processes
leadership
Partner directly with customer engineering teams to scope, design, and deliver solutions on Claude
technical
Work hands-on with customer engineering teams through pair programming sessions
technical
Collaborate closely with Applied AI Architects, Account Executives, and Product and Engineering teams to maintain context across engagements
communication
Foster community engagement by organizing and running hackathons, webinars, technical office hours, and developer-focused events
communication
Facilitate and run technical workshops and implementation support sessions for customers
communication
Travel to customer sites to provide on-site workshops, implementation support, and relationship building
operational
Job description
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 an Applied AI Engineer at Anthropic, you will be a trusted technical advisor helping tech-forward companies build on the Claude Developer Platform as they grow and scale. You'll lead deep technical engagements, partnering directly with engineering teams to help them develop their products on top of Claude - advising on implementation, agent design, and working alongside them to build at the frontier of AI. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you'll guide customers through deep technical engagements. You'll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable tech-forward businesses to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-growth, tech-forward companies, working alongside them to build innovative use cases that push the boundaries of AI Work hands-on with customer engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development Develop prototypes and technical documentation—including evaluation suites, AI engineering techniques, and architecture diagrams—that enable customers to build and scale with Claude Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team Create technical content for developer audiences including documentation, tutorials, and sample code Foster community engagement through hackathons, webinars, technical office hours, and developer-focused events Travel to customer sites for workshops, implementation support, and relationship building You may be a good fit if you have 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder Experience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutions Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale Strong programming skills with proficiency in Python and experience building production applications Experience working with high-growth, tech-forward companies Ability to context-switch across industries (healthcare, fintech, etc.) and use cases Builder credibility that earns trust with technical founders and engineering leaders - you've shipped products and can speak from experience Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans Experience facilitating technical workshops, hackathons, or developer-focused events Passion for making powerful technology safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the