# Forward Deployed Engineer

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** Munich, Germany
**Role:** Solutions Architecture
**Experience:** 8+ years
**Skills:** Claude, Mcp, Python, TypeScript, Java, LLMs, Prompt Engineering, Agent Development, Evaluation Frameworks, Ai Deployment, Enterprise It Systems
**Posted:** 2026-08-21

> Build and deploy production AI applications with Claude directly within strategic enterprise customers, delivering technical artifacts and deployment support. The role requires 8+ years in technical customer-facing work, native German and fluent English, strong Python skills, and production LLM experience.

## Job Description

## Responsibilities
- Build production applications with Claude models within customer systems, meeting customer requirements.
- Deliver production technical artifacts such as MCP servers, sub-agents, and agent skills.
- Provide white-glove deployment support for Anthropic products in enterprise environments.
- Identify repeatable deployment patterns and share insights with Product and Engineering.
- Maintain knowledge of LLM capabilities, implementation patterns, and AI product development stacks.
- Build long-term customer relationships and identify new AI deployment opportunities throughout engagements.
- Travel 25–50% to customer sites.
- Champion Anthropic’s mission in the field.

## Requirements
- 8+ years of experience in a technical, customer-facing role, such as Forward Deployed Engineer or Software Engineer with consulting experience; technical founders are also encouraged to apply.
- Native German speaker with fluent English proficiency.
- Production experience with LLMs, including prompt engineering, agent development, evaluation frameworks, and deployment at scale.
- Strong programming skills in Python; additional experience with TypeScript or Java is ideal.
- Experience shipping production applications.
- Ability to navigate ambiguity in complex organizations and collaborate across teams.
- Strong customer discovery, communication, and technical explanation skills.
- Passion for safe, beneficial AI systems.

## Nice-to-haves
- Background in financial services, healthcare/life sciences, or another enterprise vertical.
- Experience with enterprise IT systems or AI deployment patterns.

## Compensation and Benefits
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Collaborative office space.
- Visa sponsorship may be available.
- Minimum education: Bachelor’s degree or equivalent combination of education, training, and experience.

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