Anthropic21 день назад

Applied AI Architect, Industries

Зарплата не указана

РЫНОК

16 500 ₽медиана по профессии

Data Scientist · 188 вакансий с указанной зарплатой

5 000половина предложений: 13 333–22 104123 000

Работодатель не указал зарплату — сравните с рынком сами.

Munich

Обязанности

01Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
02Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment
03Coordinate internally across multiple teams & stakeholders to drive customer success
04Support customers building with both the Claude API and Claude for Work
05Create and deliver compelling technical content tailored to different audiences
06Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
07Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
08Identify common integration patterns and contribute insights back to our Product and Engineering teams
09Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
10Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

015+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
02Native or C1 German speaker with fluent English proficiency
03Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
04Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
05Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
06Experience designing scalable cloud architectures and integrating with enterprise systems
07Comfortable with python
08Familiarity with common LLM frameworks and tools or a background in machine learning or data science
09Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
10A love of teaching, mentoring, and helping others succeed
11Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders
12Passion 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
13Bachelor’s degree or an equivalent combination of education, training, and/or experience in a field relevant to the role

01Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time
02Visa sponsorship: We do sponsor visas
03Deadline to apply: None. Applications will be reviewed on a rolling basis