Applied AI Engineer, Public Sector
- Salary
- $280,000 - $320,000
- Level
- Mid
- Visa
- Sponsors visas
Not stated in the posting: work type.
Open. First seen 7 October 2026.
About the role
Anthropic's standard text
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 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.
Responsibilities
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
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, 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
Preferred qualifications
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.
Annual Salary:
$280,000—$320,000 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.
Anthropic's standard text
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
Anthropic's standard text
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.
Come work with us!
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.
What this role asks for
Particular to this role
Prompt Engineering · TypeScript
Rare in Anthropic's other 299 open postings.
Standard for data science / ML roles
LLM · Machine Learning · Python
Common in data science / ML postings at any company.
67% of this description is written for the role. The rest is Anthropic's standard text, folded away below.
Read against Anthropic's other open postings on this site.
The team: Applied AI HIRES STEADILY
This role is one of 55 open in Applied AI. 27 were posted in the last 30 days and the oldest in December: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
LLM (52 of 55), Machine Learning (26 of 55), Python (25 of 55), Generative AI (7 of 55), Prompt Engineering (7 of 55), TypeScript (6 of 55), AWS (5 of 55)
OTHER ROLES ON THIS TEAM
- Applied AI Architect, Security Specialist posted Oct 16
- Manager, Applied AI Architects - Digital Natives, EMEA posted Oct 16
- Applied AI Engineer, Startups (Physical AI) posted Oct 15
- Applied AI Engineer, Startups (Life Sciences) posted Oct 15
- Staff Forward Deployed Engineer posted Oct 14
- Applied AI Engineer, Beneficial Deployments (Lab Automation) posted Oct 13
- Manager, Applied AI Architect posted Oct 13
- Applied AI Architect, Partnerships posted Oct 8
- Applied AI Architect posted Oct 8
- Manager of Applied AI Architecture, Startups posted Oct 7
- Applied AI Architect, Beneficial Deployments (Life Sciences Community & Enablement) posted Oct 7
- Manager, Applied AI Architecture, Enterprise Tech posted Oct 7
- Applied AI Engineer, Beneficial Deployments (Clinical Development, Rare and Neglected Diseases) posted Oct 6
- Manager, Applied AI Engineering (Megas) posted Oct 5
- Applied AI Architect, International Policy posted Sep 30
- Applied AI Architects, Partner posted Sep 30
- Field Executive Architect posted Sep 29
- Applied AI Architects, Partner posted Sep 29
- Applied AI Engineer, Beneficial Deployments (Life Sciences) posted Sep 29
- Applied AI Engineer, Enterprise posted Sep 28
- [London] Applied AI Architect, Partnerships posted Sep 28
- Applied AI Architect, Public Sector posted Sep 23
- Applied AI Engineer, Startups posted Sep 23
- Applied AI Architect, Startups posted Sep 23
- Manager, Applied AI Architect posted Sep 22
- Applied AI Architect posted Sep 21
- Applied AI Architect, Partnerships posted Sep 17
- Applied AI Architect, Partnerships posted Sep 15
- Forward Deployed Engineer posted Sep 14
- Applied AI, Research Engineer posted Sep 4
- Manager, Technical Deployment (Financial Services) posted Sep 4
- Applied AI Architect, Startups posted Aug 28
- Applied AI Architect, Strategic Enterprise Tech posted Aug 27
- Applied AI Architect, Industries posted Aug 26
- Manager Applied AI Architecture, Financial Services posted Aug 21
- Manager Applied AI Architecture, Healthcare & Life Sciences posted Aug 21
- Manager of Applied AI Architecture, Commercial posted Aug 20
- Applied AI Architect posted Aug 20
- Applied AI Engineer, Enterprise posted Aug 19
- Applied AI Architect, Industries posted Aug 19
- Technical Deployment Lead posted Aug 19
- Applied AI Engineer posted Aug 19
- Forward Deployed Engineer posted Aug 17
- Applied AI Architect, Industries posted Aug 17
- Manager, Forward Deployed Engineering posted Aug 13
- Applied AI Architect, Enterprise Tech posted Aug 7
- Applied AI Architect, Partnerships posted Jul 7
- Applied AI Architect, Digital Natives Business posted May 21
- Applied AI Architect, Commercial posted Apr 17
- Manager, Forward Deployed Engineering posted Feb 5
- Applied AI Architect posted Jan 23
- Applied AI Engineer, Enterprise Tech posted Jan 8
- Technical Deployment Lead posted Dec 4
- Applied AI Architect, Industries posted Dec 20
From the team and dates on Anthropic's own job board.
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