Applied AI Architect, Public Sector

• 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

• 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). • 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.

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. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditio