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Jobs/Boston/Applied AI Engineer, Enterprise Tech
Boston, MA

Applied AI Engineer, Enterprise Tech

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.

Company
Anthropic
Compensation
Not listed
Schedule
Full-Time
Role overview

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: - 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 Requirements: - 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 Company context: Anthropic is an AI safety company building Claude, a frontier-model assistant for developers, enterprises, and consumers.

Responsibilities

Day-to-day expectations

Anthropic lists these responsibilities for the Applied AI Engineer, Enterprise Tech role.

  • 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
Requirements

What a strong candidate brings

These requirements are extracted from the source listing and normalized for UpJobz readers.

  • 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
UpJobz market context

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Applied AI Engineer, Enterprise Tech is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.

United States tech market

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Source: job-boards.greenhouse.io · Source ID: 5057647008 · Confidence: 97/100 · Last checked: May 7, 2026

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