Applied AI Architect, Partnerships
Munich, Germany
Posted 1d ago
About the job
As an Applied AI Architect on the Partnerships team, you will be a Pre-Sales architect focused on cultivating technical relationships with Global and Regional System Integrators (GSIs/RSIs) and cloud partners (AWS and GCP). Your role will involve strengthening these relationships to accelerate indirect revenue, enable partner AI practices, and execute long-term go-to-market strategies. You will act as a technical thought partner, providing expertise to understand the partner landscape, drive strategic programs, and identify opportunities to deepen partner technical capabilities. This includes embedding with partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic's offerings, and serve as an escalation point for complex technical issues.
Responsibilities
- Act as a technical thought partner to the GTM partnerships team, understanding the partner landscape and driving strategic programs.
- Enable partner AI practices by embedding with GSI and cloud partner technical teams, providing support and evangelizing Anthropic's technology.
- Collaborate with partners to identify high-value GenAI applications, develop joint solutions, and codify reference architectures.
- Provide technical expertise and solution architecture guidance to unblock strategic customer deals where partners are the primary delivery vehicle.
- Represent Anthropic at partner events, lead technical enablement sessions, and gather product feedback from partner use cases.
- Gather and deliver feedback on Anthropic's products and offerings to inform product roadmap and partner strategy.
Requirements
- 5+ years of experience in technical customer-facing or partner-facing roles (e.g., Solutions Architect, Sales Engineer).
- Proven track record of partnering with GSIs and/or cloud providers to solve complex technical challenges.
- Exceptional ability to build relationships and communicate technical concepts to diverse stakeholders, including C-suite executives and engineering teams.
- Strong presentation and technical communication skills, translating requirements between technical and business stakeholders.
- Experience designing scalable cloud architectures and integrating with enterprise systems.
- Familiarity with common LLM frameworks and tools, or a background in machine learning or data science.
- Excitement for cross-organizational collaboration, working through trade-offs, and balancing competing priorities.
- A passion for teaching, mentoring, and helping others succeed.
- A passion for thinking creatively about safe and beneficial AI system development.
Benefits
- Visa sponsorship available