# Applied AI Architect, Applied AI

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** London, United Kingdom, Munich, Germany
**Role:** Solutions Architecture
**Experience:** 5+ years
**Skills:** Claude API, Claude For Work, Python, LLMs, Llm Frameworks, Machine Learning, Data Science, Cloud Architecture, Enterprise Systems, Evaluation Frameworks
**Posted:** 2026-08-03

> Acts as a pre-sales technical advisor for enterprise customers adopting Claude, designing scalable integrations, evaluation frameworks, and deployment architectures. The role requires 5+ years in customer-facing technical positions, enterprise experience, German and English fluency, and strong communication skills.

## Job Description

## Responsibilities
- Partner with account executives to understand customer requirements and translate them into technical solutions aligned with business objectives and implementation needs.
- Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery and evaluation through deployment.
- Coordinate internally across multiple teams and stakeholders to drive customer success.
- Support customers building with the Claude API and Claude for Work.
- Create and deliver technical content for engineering, development, business, and executive audiences.
- Guide technical architecture decisions and help customers integrate Claude into their existing technology stacks.
- Help customers develop evaluation frameworks to measure Claude's performance for specific use cases.
- Identify common integration patterns and share insights with Product and Engineering teams.
- Travel occasionally to customer sites for workshops, technical deep dives, and relationship building.
- Maintain knowledge of LLM capabilities and implementation patterns.

## Requirements
- 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager.
- Native German speaker with fluent English proficiency.
- Experience working with enterprise customers and navigating complex, multi-stakeholder buying cycles.
- Ability to build relationships and communicate technical concepts to C-suite executives, engineering and IT teams, and other stakeholders.
- Strong technical communication skills, translating requirements between technical and business stakeholders.
- Experience designing scalable cloud architectures and integrating with enterprise systems.
- Comfortable with Python.
- Familiarity with common LLM frameworks and tools, or a background in machine learning or data science.
- Ability to collaborate across organizations, work through trade-offs, and balance competing priorities.
- Love of teaching, mentoring, and helping others succeed.
- Excellent communication and interpersonal skills.
- Passion for using technology safely and beneficially to advance safe AI systems.
- Bachelor's degree or an equivalent combination of education, training, and experience in a relevant field, demonstrated through coursework, training, or professional experience.

## Benefits and Compensation
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Office space for collaboration.
- Visa sponsorship may be available depending on the role and candidate.

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