Applied AI Architect Public Sector

AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.

Series F+Recently funded0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 9/25/2026

San Francisco, United States
About Anthropic

Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will advise systems integrators, startups, and GovTech companies on Claude adoption. You will guide technical discovery, evaluations, architecture decisions, and deployments; create technical content; develop evaluation frameworks; share integration insights; and travel frequently to customer sites.

Requirements

  • 5+ years of experience in technical customer-facing roles
  • Experience navigating complex buying cycles
  • Experience designing scalable cloud architectures and enterprise integrations
  • Python
  • LLM frameworks and tools or machine learning or data science experience
  • Technical communication skills
  • US Secret Clearance preferred
  • Government, government contracting, or government technology experience preferred
  • Bachelor’s degree or equivalent education, training, or experience

Responsibilities

  • Partner with account executives to translate customer requirements into technical solutions
  • Advise customers from discovery through deployment
  • Support customers using Claude Code, the Claude API, and Claude for Enterprise
  • Deliver technical content for engineering teams and executives
  • Guide architecture decisions and Claude integrations
  • Develop evaluation frameworks for customer use cases
  • Identify integration patterns and share insights with Product and Engineering
  • Travel frequently to customer sites
  • Maintain knowledge of LLM capabilities and implementation patterns

Benefits

  • Visa sponsorship
  • Optional equity donation matching
  • Generous vacation
  • Parental leave
  • Flexible working hours