Applied AI Architect, Public Sector
anthropic San Francisco, CA | New York City, NY | Washington, DCEst. Est. USD 170,000–250,000 / yearMid
Estimated range based on role, country and industry — not published by the company.
Key requirements
- Machine Learning
- Llm
- Data Science
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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Applied AI Solutions Architect supporting a dedicated national security mission program, you will be the customer's trusted technical advisor — helping them understand the value of Claude and how to successfully integrate and deploy it into their technology stack. You'll combine deep technical and cyber domain expertise with customer-facing skills to architect LLM solutions for complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide the customer from technical discovery through successful deployment, much of it on-site in secure environments.
Key responsibilities
Serve as the dedicated technical advisor for one or more national security mission programs, from discovery and evaluation through deployment and adoption
Support the customer building with Claude Code, the Claude API, and Claude for Enterprise
Help develop evaluation frameworks to measure Claude's performance for mission-specific use cases
Guide technical architecture decisions and integration into the customer's existing stack
Coordinate internally across Sales, Product, and Engineering to drive customer success
Create and deliver technical content from engineering deep dives to executive briefings
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
Minimum qualifications
Active TS/SCI clearance with Polygraph
Prior experience working within US intelligence community agencies as a government civilian or cleared contractor
Experience in technical customer-facing roles (solutions architecture, sales engineering, or similar)
Exceptional ability to communicate technical concepts to diverse stakeholders, from engineers to executives
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, or accreditation of classified systems (RMF, ATO, cross-domain solutions).
Preferred qualifications
5+ years in Solutions Architect, Sales Engineer, Technical Account Manager or equivalent roles
Familiarity with common LLM frameworks and tools
Background in artificial intelligence, machine learning, or data science
Experience designing scalable cloud architectures and integrating with enterprise systems
Experience deploying and operating software in air-gapped or classified environments
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$240,000 $315,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. H
See your match score for this role.
Xecodai maps the interview stages and shows what is preventing a 95% match.
