Anthropic· Sales· San Francisco, CA | New York City, NY | Seattle, WA
Applied AI Engineer, Enterprise Tech
Classified Tasks (15)
Automate 0%Augment 80%Human-Only 20%
Augment (12)
AI assists, human decides
Serve as a specialist technical advisor to customers deploying new products and workflows with Anthropic models from discovery through deployment
technical
Coordinate internally across Sales, Product, Engineering, and other teams to drive customer success
operational
Partner with account executives and solutions architects to translate customer business requirements into technical solutions
technical
Advise customer product and engineering teams on architecture design decisions for integrations with the Claude API
technical
Develop evaluation frameworks to assess model performance and product behavior
analytical
Guide customers through advanced LLM implementation patterns, including prompting, agentic systems, and deployment strategies
technical
Develop customized pilots, prototypes, and evaluation suites to influence technical architecture and product strategy
technical
Lead hands-on technical workshops and perform code reviews with customer engineering teams
technical
Identify common design patterns in customer implementations and contribute insights back to Product and Engineering teams
analytical
Create scalable public and internal assets documenting LLM prompting techniques, evaluation methods, agentic approaches, and architecture patterns
communication
Maintain up-to-date knowledge of LLM capabilities, implementation patterns, and AI product development stacks and apply that knowledge to customer engagements
technical
Write blog posts and white papers on AI implementation and research topics
communication
Human-Only (3)
Requires human judgment
Travel to customer sites to provide workshops, implementation support, and build relationships
communication
Attend conferences and lead speaking engagements on AI topics
communication
Ensure customer implementations meet Anthropic's safety and reliability standards
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 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 & workflows with our models: 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 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 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 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 concepts to diverse stakeholders while maintaining a low ego and collaborative approach Please note this role requires 3 days in office per week. Deadline to apply: None. Applications will be reviewed on a rolling basis. <div cl