Forward Deployed Engineer, Applied AI

Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.

Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.

Provide white glove deployment support for Anthropic products in enterprise environments.

Identify and codify repeatable deployment 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.

Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.

Travel frequently (25-50%) to customer sites to build in person with customers.

Be a champion for Anthropic’s mission in the field.

4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.

Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.

Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications 

High agency with an ability to navigate ambiguity present in complex organizations.

High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.

Passion for advancing safe, beneficial AI systems through creative technical applications.

Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.

A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.

Experience with enterprise IT systems and/or AI deployment patterns is a plus.