Applied AI Architect, Democratic Partnerships

Anthropic · San Francisco, CA | New York City, NY · Applied AI · listed November 6, 2026

The shape of it

Seniority
Principal
Experience asked
4+ years
Where
Hybrid
Stated pay
$240,000 – $315,000 USD
Requirements listed
10
Length
1,510 words

In the posting’s own words

As a member of the Applied AI, Democratic Partnerships team at Anthropic you will provide technical support to the governments of key international allies and civil-sector partners to support democratic resilience. Near-term work focuses on a few priority countries and partners, and will continue to expand with capacity. This role serves Anthropic's mission and public benefit goals.

What it asks for · 10

  • 4+ years of experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Cybersecurity Engineer, working with governments, civil-sector organizations, or the public sector
  • Experience shipping software in imperfect conditions, and a practical approach to infrastructure constraints
  • Designed novel and innovative solutions for technical platforms in a developing mission area
  • Comfort working directly with partner technical teams, and motivation to work on deployments where the stakes are civic rather than commercial
  • Strong technical aptitude to partner with engineers and strong proficiency in at least one programming language (Python preferred)
  • Understanding of and experience with LLM fundamentals
  • The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the problem at hand, finding simple, easy-to-understand solutions
  • Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
  • Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, from engineers to senior government officials
  • Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

What the job covers

  • Work directly with partner technical teams to build and ship Claude deployments. Guide their setup, architecture, and integration as they build with Claude Code and the Claude API.
  • Build pilots and repeatable workflows that can scale across partner agencies, and support developer and university enablement.
  • Document how to deploy Claude in low-connectivity, multilingual, and security-conscious environments, for reuse across partners.
  • Act as the voice of our partners in frontline democracies and a key collaborator with our Product and Research teams to ensure we deliver the capabilities they need.
  • Travel internationally to partner institutions for technical enablement and building relationships.
  • Establish a shared vision for creating solutions that enable beneficial and safe AI.
  • Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities.
  • Support partner deployments in areas such as education, cyber resiliency and global health.

Tools and skills named

Go to market
  • Solutions architecture2×
  • Partnerships
Security & compliance
  • Security3×
Languages
  • Python2×
Models & research
  • LLM2×

Words the posting leans on

  • partner19×
  • engineer12×
  • technical12×
  • solutions10×
  • claude9×
  • build7×
  • deployments7×
  • experience6×
  • safe6×
  • support6×
  • governments5×
  • area4×
  • beneficial4×
  • capabilities4×
  • directly4×
  • enablement4×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched November 7, 2026 and last changed by Anthropic on November 6, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.