Работа на переднем крае ИИ в такой топовой лаборатории, как Anthropic - это мощный буст для карьеры и возможность влиять на то, как бизнес внедряет LLM.
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Передовой стекТрендовый доменТоповый работодательЗарплата не указанаПомощь с визой
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Applied AI Architect, Industries (AI) (LLM enterprise architecture): Designing and deploying scalable Claude-based solutions for large enterprises with an accent on technical discovery, API integration, and customer-focused architecture. Focus on developing evaluation frameworks, integrating LLM systems with enterprise technology stacks, and advising diverse stakeholders on safe and reliable AI adoption.
Location: Munich, Germany; hybrid policy with staff expected to be in an office at least 25% of the time. Occasional travel to customer sites is required.
Company
Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.
What you will do
Partner with account executives to understand enterprise requirements and translate business objectives into technical solutions.
Advise customers throughout Claude adoption, from technical discovery and evaluation through deployment.
Support integrations using the Claude API and Claude for Work.
Design scalable architectures and help customers integrate Claude with existing enterprise technology stacks.
Create technical content and explain complex concepts to engineering teams, IT stakeholders, and executives.
Help develop evaluation frameworks and share integration patterns with Product and Engineering.
Requirements
At least 5 years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager.
Native or C1 German and fluent English proficiency required.
Experience working with enterprise customers and complex, multi-stakeholder buying cycles.
Experience designing scalable cloud architectures and integrating enterprise systems.
Comfort with Python and familiarity with LLM frameworks and tools, machine learning, or data science.
Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.
Nice to have
Experience teaching, mentoring, and helping others succeed.
Experience balancing technical trade-offs and competing priorities across organizations.
Culture & Benefits
Collaborative environment focused on large-scale AI research and trustworthy, steerable systems.
Flexible working hours and an office environment designed for collaboration.
Competitive compensation and benefits.
Generous vacation and parental leave.
Optional equity donation matching.
Visa sponsorship is available, with immigration lawyer support, subject to role and candidate eligibility.
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