Anthropic· Sales· Tokyo, Japan
Applied AI Engineer
Classified Tasks (15)
Automate 0%Augment 60%Human-Only 40%
Augment (9)
AI assists, human decides
Coordinate internally across Sales, Product, and Engineering teams to drive customer success.
operational
Partner with account executives to understand and document customer product requirements.
communication
Architect technical solutions that align customer business objectives with technical implementation.
technical
Guide customers on cutting-edge LLM implementation patterns, prompt engineering, agent frameworks, and retrieval frameworks.
technical
Develop customized pilots, prototypes, and evaluation suites to validate model integration and make the case for deployment via our API.
technical
Develop evaluation frameworks to assess model performance and deployment readiness.
analytical
Conduct code reviews with customer engineering teams to ensure implementation quality.
technical
Identify and document common design patterns from customer implementations and contribute insights back to Product and Engineering teams.
analytical
Maintain up-to-date knowledge of LLM capabilities, implementation patterns, and AI product development stacks.
technical
Human-Only (6)
Requires human judgment
Serve as a technical advisor to customers from discovery through deployment of products and workflows using Anthropic models.
technical
Advise customers on architecture design decisions for integrating LLMs via API.
technical
Lead hands-on technical workshops with customer engineering teams.
technical
Travel to customer sites to deliver workshops, provide implementation support, and build customer relationships.
communication
Attend conferences, lead speaking engagements, and write blog posts and white papers on AI topics.
communication
Help customers understand the potential applications of LLMs and translate product needs into innovative solutions that meet safety and reliability standards.
creative
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 a member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to customers as they adopt Claude. 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 customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers understand the potential of working with LLMs and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. Responsibilities Serve as a technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation Guide technical architecture decisions and help customers build state-of-the-art products & workflows with LLMs via API Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models into customer products and workflows via our API 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 Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks Travel occasionally to customer sites for workshops, implementation support, and building relationships Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space You may be a good fit if you have 4+ years of experience in a technical roles such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale Strong programming skills with proficiency in Python and experience building production applications Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks. Ability to navigate ambiguity and execute across domains with intellectual openness , finding simple solutions to complex problems High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity Passion for advancing safe, beneficial AI systems through creative technical applications Exceptional communication skills to convey technical con