Applied AI Engineer, Public Sector
Anthropic · Washington, DC ·
- Employment
- Contract
- Category
- AI engineering
- Experience
- 4+ years
- Visa sponsorship
- Yes
- Salary
- USD 280,000 – 320,000 / year
Anthropic · Washington, DC ·
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NewRocket · USA - Remote
Anthropic is hiring an Applied AI Engineer in Washington, DC to serve as an on-site technical advisor for a national security mission program, guiding government engineering teams as they build and deploy applications powered by Claude. The role blends hands-on engineering (Python/TypeScript, LLM APIs, evaluation frameworks) with deep cyber/intelligence domain expertise.
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.
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.
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. You'll combine deep engineering expertise and cyber domain knowledge with customer-facing skills to help the customer unlock the full potential of Claude and move their mission capabilities closer to the frontier, while maintaining our high standards for safety and reliability.
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
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
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
Deadline to apply: None. Applications will be reviewed on a rolling basis.
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.
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.
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 directly for confirmed position openings.
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 traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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