SAP
Architect for Foundation Model and Data Platform(m/w/x)
Full-timeOn-siteSenior
Potsdam, Walldorf, Berlin, München
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ANAnthropic
Applied AI Architect, Applied AI (Digital Natives Business)(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Designing scalable cloud architectures and integrations for enterprise customers using Claude API. 5+ years in technical customer-facing roles required. Location-based hybrid policy, generous vacation.
Requirements
- 5+ years technical customer-facing roles (Solutions Architect, Sales Engineer, TAM)
- Experience with enterprise customers and complex buying cycles
- Exceptional relationship building and technical communication
- Strong technical communication skills, translating requirements
- 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 technology advancement in AI
- Bachelor’s degree or equivalent experience
- Relevant field of study
- Encouraged to apply even if not meeting all qualifications
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 to drive customer success
- 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 their technology stack
- 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
- Compulsory education
Languages
- German – Native
- English – Fluent
Tools & Technologies
- Python
- LLM frameworks
- machine learning
- data science
- cloud architectures
Benefits
Flexible Working
- Location-based hybrid policy
- Flexible working hours
Social Impact
- Optional equity donation matching
More Vacation Days
- Generous vacation
Generous Parental Leave
- Generous parental leave
Modern Office
- Lovely office space
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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ANAnthropic
Applied AI Architect, Applied AI (Digital Natives Business)(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Designing scalable cloud architectures and integrations for enterprise customers using Claude API. 5+ years in technical customer-facing roles required. Location-based hybrid policy, generous vacation.
Requirements
- 5+ years technical customer-facing roles (Solutions Architect, Sales Engineer, TAM)
- Experience with enterprise customers and complex buying cycles
- Exceptional relationship building and technical communication
- Strong technical communication skills, translating requirements
- 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 technology advancement in AI
- Bachelor’s degree or equivalent experience
- Relevant field of study
- Encouraged to apply even if not meeting all qualifications
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 to drive customer success
- 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 their technology stack
- 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
- Compulsory education
Languages
- German – Native
- English – Fluent
Tools & Technologies
- Python
- LLM frameworks
- machine learning
- data science
- cloud architectures
Benefits
Flexible Working
- Location-based hybrid policy
- Flexible working hours
Social Impact
- Optional equity donation matching
More Vacation Days
- Generous vacation
Generous Parental Leave
- Generous parental leave
Modern Office
- Lovely office space
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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Anthropic
Industry
Science
Description
The company aims to create reliable, interpretable, and steerable AI systems for safe and beneficial use.
Not a perfect match?
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