Forward Deployed Engineer, Applied AI
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.
What this role actually needs.
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. Responsibilities: - 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. 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. - Potential Travel (based on location) to customer sites to build in person with customers. - Estimated 25% Company context: Anthropic is an AI safety company building Claude, a frontier-model assistant for developers, enterprises, and consumers.
Day-to-day expectations
Anthropic lists these responsibilities for the Forward Deployed Engineer, Applied AI role.
- 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.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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.
- Potential Travel (based on location) to customer sites to build in person with customers. - Estimated 25%
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United States tech market
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Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
On-site roles in Washington should be compared against commute, local salary bands, and nearby employer demand.
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Source: job-boards.greenhouse.io · Source ID: 4985877008 · Confidence: 97/100 · Last checked: May 7, 2026
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