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anthropic
Страна
США
Зарплата
280 000 $ – 320 000 $
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ГибридПолная занятость

Forward Deployed Engineer, Applied AI (Federal Civilian)

Оценка ИИ

Исключительная вакансия в одной из ведущих ИИ-компаний мира с очень высокой компенсацией. Роль предлагает уникальное влияние на внедрение технологий Claude в государственном масштабе, хотя требует высокой мобильности и работы с бюрократическими структурами.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена необходимостью сочетать глубокие технические навыки в области LLM (агенты, prompt engineering) с опытом работы в жестко регулируемых государственных структурах США. Роль требует автономности, готовности к частым командировкам и умения управлять ожиданиями высокопоставленных стейкхолдеров.

Анализ зарплаты

Медиана220 000 $
Рынок180 000 $ – 260 000 $
Оценка ИИ

Предлагаемая зарплата ($280k–$320k) значительно выше среднерыночной для Forward Deployed ролей, что отражает статус Anthropic как топового работодателя в сфере AI и высокие требования к работе с госсектором.

Сопроводительное письмо

I am writing to express my strong interest in the Forward Deployed Engineer position for Applied AI (Federal Civilian) at Anthropic. With over four years of experience in technical, customer-facing roles and a deep background in shipping production-grade applications using Large Language Models, I am eager to help federal agencies leverage Claude to solve complex challenges. My experience navigating the intricacies of government IT systems, combined with a high-agency approach to problem-solving, aligns perfectly with Anthropic's mission of building safe and reliable AI.

In my previous roles, I have successfully developed agentic workflows and implemented advanced prompt engineering techniques to deliver tangible business value. I am particularly drawn to Anthropic’s commitment to AI safety and interpretability, and I am excited by the prospect of being a founding FDE who shapes the deployment motion for strategic federal partners. I am prepared for the frequent travel required to build in-person relationships and ensure the successful adoption of frontier AI technologies within the federal civilian sector.

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Присоединяйтесь к Anthropic, чтобы внедрять передовые ИИ-решения Claude в государственном секторе США!

Описание вакансии

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 a Forward Deployed Engineer (FDE) who embeds directly with our most strategic federal civilian (and, occasionally, state and local) customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.

Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.

You will sit at the frontier of government AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.

Core Responsibilities:

  • Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
  • Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.
  • Provide white glove deployment support for Anthropic products in federal government environments.
  • Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.
  • Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
  • Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
  • Travel frequently (25-50%) to customer sites to build in person with customers.
  • Be a champion for Anthropic’s mission in the field.

You Might Be a Good Fit If You Have:

  • Security clearance not required, but a plus
  • Must have prior experience working with US federal civilian, state, or local agencies
  • 4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.
  • Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
  • Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications
  • High agency with an ability to navigate ambiguity present in complex organizations.
  • High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.
  • Passion for advancing safe, beneficial AI systems through creative technical applications.
  • Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.
  • Experience with government IT systems and/or AI deployment patterns is a plus.

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

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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 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

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Навыки

  • TypeScript
  • Python
  • LLM
  • Prompt Engineering
  • Java
  • AI Agents
  • Evaluation Frameworks
  • MCP

Возможные вопросы на собеседовании

Проверка практического опыта работы с LLM в реальных условиях.

Расскажите о самом сложном случае внедрения LLM в продакшн: с какими проблемами задержки или точности вы столкнулись и как их решили?

Оценка понимания специфики работы с государственным сектором.

Как вы подходите к обеспечению безопасности и комплаенса при развертывании ИИ-решений в инфраструктуре федеральных гражданских ведомств?

Проверка навыков проектирования ИИ-агентов.

Опишите ваш подход к созданию и оценке (evaluation) автономных агентов: какие метрики вы используете для проверки их надежности?

Оценка навыков взаимодействия с клиентами в условиях неопределенности.

Приведите пример ситуации, когда требования государственного заказчика были технически невыполнимы или небезопасны. Как вы выстроили коммуникацию?

Проверка технического кругозора в экосистеме Anthropic.

Как бы вы использовали Model Context Protocol (MCP) для расширения возможностей Claude в закрытой корпоративной сети заказчика?

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anthropic
Страна
США
Зарплата
280 000 $ – 320 000 $