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ANAnthropic

Solutions Architect, Applied AI(m/w/x)

Zürich
Full-timeOn-siteSenior
AI/ML
Data Science

Designing scalable cloud architectures and integrations for enterprise customers using Claude API. 5+ years technical customer-facing experience required. 25% in-office policy, generous vacation.

Requirements

  • 5+ years technical customer-facing experience (Solutions Architect, Sales Engineer, TAM)
  • Experience with enterprise customers and complex buying cycles
  • Ability to communicate technical concepts to diverse stakeholders
  • Strong technical communication skills, translating requirements
  • Experience designing scalable cloud architectures and integrations
  • Comfortable with Python
  • Familiarity with LLM frameworks/tools or ML/data science background
  • Excitement for cross-organizational collaboration and balancing priorities
  • Love of teaching, mentoring, and helping others succeed
  • Excellent communication and interpersonal skills, conveying complex topics
  • Passion for creative and safe AI system advancement
  • Bachelor’s degree or equivalent experience
  • Relevant field of study
  • Occasional travel to customer sites

Tasks

  • Partner with account executives to understand customer requirements
  • Translate business objectives into technical solutions
  • Serve as primary technical advisor to enterprise customers
  • Coordinate internally across teams and stakeholders
  • Support customers using Claude API and Claude for Work
  • Create and deliver tailored technical content
  • Conduct technical deep dives for engineering teams
  • Engage in business value conversations with executives
  • Guide technical architecture decisions
  • Help customers integrate Claude into existing technology stacks
  • Develop evaluation frameworks for Claude's performance
  • Identify common integration patterns
  • Contribute insights to Product and Engineering teams
  • Travel to customer sites for workshops and deep dives
  • Maintain knowledge of LLM developments and implementation patterns

Work Experience

  • 5 years

Education

  • Vocational certificationOR
  • Bachelor's degree

Languages

  • GermanNative
  • FrenchNative
  • EnglishFluent

Tools & Technologies

  • Python
  • LLM frameworks
  • Machine learning
  • Data science
  • Cloud architectures

Benefits

Flexible Working

  • 25% in-office policy
  • Flexible working hours

Social Impact

  • Optional equity donation matching

More Vacation Days

  • Generous vacation

Generous Parental Leave

  • Generous parental leave
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Anthropic and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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