Applied AI Engineer, Public Sector

Job Overview

As an Applied AI Engineer in the Public Sector, you will work closely with Anthropic's Sales, Product, and Engineering teams to guide customers through technical discovery and successful deployment of AI solutions. You will leverage deep engineering expertise, cyber domain knowledge, and customer-facing skills to unlock the full potential of Claude, ensuring high standards for safety and reliability.

Responsibilities

• Serve as a specialist technical advisor for national security mission programs, coordinating across multiple teams to drive customer success.
• Support customers in building with Claude Code, 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.
• 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 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 and AI product development stacks.
• Work primarily on-site with the customer's engineering and mission teams in secure government facilities.

Minimum Qualifications

• 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.
• Strong programming skills with proficiency in Python or TypeScript and experience building production applications.
• Hands-on expertise in domains such as offensive or defensive cyber operations, cryptography, intelligence analysis, or mission and weapons systems.
• Exceptional communication skills to convey technical concepts to diverse stakeholders.

Preferred Qualifications

• Production experience with LLMs, including advanced prompt engineering and deployment at scale.
• Experience deploying and operating software in air-gapped or classified environments.
• Background in artificial intelligence, machine learning, or data science.
• Ability to navigate ambiguity and execute across domains with intellectual openness.
• High cooperation mindset for cross-organizational collaboration.

Logistics

• Annual Salary: $280,000-$320,000 USD
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.