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Anthropic is seeking an Applied AI Architect for its Partnerships team, based in Munich. This is a pre-sales technical role focused on building and deepening relationships with Global and Regional System Integrators (GSIs/RSIs) and cloud partners (AWS, GCP) to accelerate indirect revenue and enable their AI practices.
Key Responsibilities:
Strategic Technical Partnership: Serve as a technical thought partner to Anthropic's GTM partnerships team. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in developer communities, and escalate complex technical issues. Drive key strategic programs and identify opportunities to deepen partner technical capabilities.
Joint Solution Development: Collaborate with partners to identify high-value, industry-specific generative AI applications. Develop joint solutions and codify reference architectures and best practices to accelerate deployment timelines.
Customer Deal Support: Intervene directly on strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance to unblock deals.
Partner Ecosystem & Events: Represent Anthropic at partner events including GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, particularly for technically native communities.
Product Feedback: Validate and gather feedback on Anthropic's products and offerings as they relate to partner use cases and deployment patterns. Deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.
Requirements:
- 5+ years of experience in technical customer-facing or partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, or Technical Account Manager
- Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery
- Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders including C-suite executives, engineering and IT teams
- Strong presentation and technical communication skills with ability to translate requirements between technical and business stakeholders
- Experience designing scalable cloud architectures and integrating with enterprise systems
- Familiarity with common LLM frameworks and tools, or background in machine learning or data science
- Excitement for cross-organizational collaboration, working through trade-offs, and balancing competing priorities
- Passion for teaching, mentoring, and helping others succeed
- Passion for thinking creatively about how to use technology in a way that is safe and beneficial, advancing safe AI systems
- Bachelor's degree or equivalent combination of education, training, and professional experience
- Field of study relevant to the role as demonstrated through coursework, training, or professional experience
Hybrid arrangement: Currently expects all staff in office at least 25% of the time, though some roles may require more. Visa sponsorship available.
