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anthropic
Страна
США
Зарплата
240 000 $ – 270 000 $
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Solutions Architect, Applied AI (Federal Civilian)

Оценка ИИ

Исключительная вакансия в одной из ведущих ИИ-компаний мира с очень высокой компенсацией и возможностью влиять на развитие безопасного ИИ в государственном масштабе.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена необходимостью сочетать глубокие технические знания в области LLM с опытом работы с федеральными агентствами США и навыками пресейла на уровне C-suite.

Анализ зарплаты

Медиана220 000 $
Рынок180 000 $ – 280 000 $
Оценка ИИ

Предлагаемый диапазон $240k–$270k (OTE) находится на верхнем пределе рынка для позиций Solutions Architect в США, особенно учитывая специализацию на Generative AI.

Сопроводительное письмо

I am writing to express my strong interest in the Solutions Architect position for Applied AI (Federal Civilian) at Anthropic. With over five years of experience in technical customer-facing roles and a deep understanding of the US federal landscape, I am eager to help civilian agencies leverage Claude to solve their most complex mission challenges. My background in designing scalable cloud architectures and my familiarity with LLM frameworks align perfectly with your mission to deploy safe and reliable AI systems.

Throughout my career, I have excelled at bridging the gap between technical engineering teams and executive stakeholders. I am particularly drawn to Anthropic's commitment to AI safety and interpretability, and I am confident that my experience in developing evaluation frameworks and navigating complex federal buying cycles will allow me to contribute immediately to the Applied AI team. I look forward to the possibility of discussing how my technical expertise and passion for mission-driven technology can support Anthropic's growth.

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Откликнитесь в anthropic уже сейчас

Присоединяйтесь к Anthropic, чтобы внедрять передовые технологии Claude в государственные структуры США и формировать будущее безопасного ИИ.

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 an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping federal civilian agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

  • Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
  • Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
  • Support customers building with Claude Code, the Claude API, and Claude for Enterprise
  • Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
  • Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
  • Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
  • Identify common integration patterns and contribute insights back to our Product and Engineering teams
  • Travel frequently to customer sites for workshops, technical deep dives, and relationship building
  • Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

  • Security clearance not required, but a plus
  • Must have prior experience working with US federal agencies
  • 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
  • Experience navigating complex buying cycles involving multiple stakeholders
  • Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
  • Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
  • Experience designing scalable cloud architectures and integrating with enterprise systems
  • Familiar with Python
  • Familiarity with common LLM frameworks and tools or a background in machine learning or data science
  • Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
  • A love of teaching, mentoring, and helping others succeed
  • Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
  • Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

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—$270,000 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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Создайте идеальное резюме с помощью ИИ-агента

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Навыки

  • Python
  • Machine Learning
  • Pre-sales
  • Cloud Architecture
  • Data Science
  • Technical Consulting
  • LLM Frameworks

Возможные вопросы на собеседовании

Проверка опыта работы с государственным сектором и понимания специфики федеральных закупок.

Опишите ваш опыт работы с федеральными гражданскими агентствами США: с какими основными препятствиями при внедрении новых технологий вы сталкивались?

Оценка технической экспертизы в области интеграции больших языковых моделей.

Как бы вы спроектировали архитектуру для интеграции Claude в существующую экосистему федерального агентства с учетом строгих требований к безопасности данных?

Проверка навыков оценки качества ответов ИИ, что критично для Anthropic.

Какие метрики и фреймворки оценки (evals) вы бы предложили заказчику для проверки надежности и отсутствия галлюцинаций у модели в специфическом домене?

Оценка навыков коммуникации между техническими специалистами и бизнесом.

Как вы объясните концепцию 'интерпретируемости ИИ' руководителю агентства, не имеющему технического образования, и почему это важно для их миссии?

Проверка умения работать с возражениями и приоритизировать задачи.

Расскажите о случае, когда требования заказчика конфликтовали с техническими ограничениями или принципами безопасности продукта. Как вы разрешили эту ситуацию?

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anthropic
Страна
США
Зарплата
240 000 $ – 270 000 $