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Forward Deployed Engineer (FDE) – Applied AI, Enterprise Solutions

fde times • Germany
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As a Forward Deployed Engineer at Anthropic, you will embed with strategic customers to drive AI adoption, build production applications with Claude models, and deliver technical solutions that address complex business challenges. This role requires 8+ years of technical/customer-facing experience, expertise in LLM deployment, and strong collaboration skills to shape enterprise AI deployments autonomously. You’ll champion Anthropic’s mission in high-stakes environments while balancing ambiguity and cross-organizational priorities.

Key Highlights
8+ years of technical/customer-facing experience (e.g., Forward Deployed Engineer, Software Engineer with consulting background)
Embedded role with 25-50% travel to customer sites to build and deploy AI solutions at scale
Responsible for shaping Anthropic’s forward-deployed motion as a founding FDE, ensuring safety, reliability, and mission alignment
Key Responsibilities
Build and deploy production applications using Claude models to meet customer requirements in enterprise environments
Provide white-glove deployment support for Anthropic products, including MCP servers, sub-agents, and agent skills
Identify and codify repeatable deployment patterns, collaborating with Product and Engineering teams to improve AI adoption strategies
Technical Skills Required
Python Large Language Model (LLM) Deployment Advanced Prompt Engineering
Benefits & Perks
Competitive compensation
Visa sponsorship (with reasonable effort)
Generous vacation and parental leave
Nice to Have
Native German speaker with fluent English
Background in financial services, healthcare/life sciences, or enterprise verticals
Experience with enterprise IT systems or AI deployment patterns

Job Description

About AnthropicAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
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