Applied AI Engineer, Public Sector

Anthropic · Washington, DC · Applied AI · listed October 7, 2026

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The shape of it

Seniority
Mid level
Experience asked
4+ years
Where
Hybrid
Stated pay
$280,000 – $320,000 USD
Requirements listed
12
Length
1,635 words

In the posting’s own words

As a member of the Applied AI team at Anthropic, you will be an Applied AI Engineer supporting a dedicated national security mission program. You will be the customer's trusted technical advisor, working closely with their engineering and mission teams as they build and ship new capabilities powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding them through the most cutting-edge implementation patterns for LLMs.

What it asks for · 12

  • Active TS/SCI clearance with Polygraph
  • Prior experience working within US intelligence community agencies as a government civilian or cleared contractor
  • 4+ years of experience in technical roles such as Forward Deployed Engineer, Product Engineer, Software Engineer, or Technical Product Manager, with a desire to work closely with customers
  • Strong programming skills with proficiency in Python or TypeScript and experience building production applications
  • Hands-on expertise in one or more of the following domains:
  • Offensive or defensive cyber operations (including vulnerability research, reverse engineering, and ICS/OT security)
  • Cryptography and cryptanalysis
  • Intelligence analysis and ISR (all-source, SIGINT, GEOINT)
  • Mission and weapons systems (command and control, space, electronic warfare, autonomy)
  • CBRN and nonproliferation
  • Accreditation of classified systems (RMF, ATO, cross-domain solutions)
  • Exceptional communication skills to convey technical concepts to diverse stakeholders, from engineers to executives, while maintaining a low ego and collaborative approach

Also a plus

  • Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale
  • Experience deploying and operating software in air-gapped or classified environments
  • Experience designing scalable cloud architectures and integrating with enterprise systems
  • Background in artificial intelligence, machine learning, or data science
  • Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems
  • High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity
  • Passion for advancing safe, beneficial AI systems through creative technical applications

What the job covers

  • Serve as a specialist technical advisor for one or more national security mission programs, from discovery and evaluation through deployment and adoption, coordinating internally across multiple teams to drive customer success
  • Support the customer as they build with Claude Code, the Claude API, and Claude for Enterprise
  • Partner with account executives and Applied AI Architects to translate mission requirements into technical solutions
  • Influence technical architecture decisions and integration into the customer's existing stack by developing customized pilots, prototypes, and evaluation suites
  • Help develop evaluation frameworks to measure Claude's performance for mission-specific use cases
  • 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 and deliver technical content, from engineering deep dives to executive briefings
  • Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks
  • Work primarily on-site with the customer's engineering and mission teams in secure government facilities, while maintaining close internal coordination and feedback with Anthropic's Applied AI and Engineering teams

Tools and skills named

Models & research
  • LLM5×
  • Machine learning2×
  • Prompt engineering2×
Security & compliance
  • Security5×
  • Cryptography2×
Languages
  • Python2×
  • TypeScript2×
Go to market
  • Customer success2×
Product & design
  • Product management2×
Ways of working
  • Code review2×

Words the posting leans on

  • technical20×
  • engineering17×
  • customer15×
  • experience12×
  • mission11×
  • claude10×
  • engineer9×
  • evaluation9×
  • product9×
  • systems8×
  • applied6×
  • development6×
  • executives6×
  • solutions6×
  • architecture5×
  • deployment5×

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 October 7, 2026 and last changed by Anthropic on October 7, 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.