Applied AI Architect, Partnerships

As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with Global and Regional System Integrators (GSIs/RSIs), and cloud partners.

You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.

Responsibilities:

• Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities.
• Joint Solution Development: Collaborate with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures and best practices to accelerate time to deployment.
• Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
• Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, summits, and industry conferences.
• Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns.

Requirements:

• 10+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer.
• Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges.
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders.
• Strong presentation and technical communication skills.
• 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.

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
• Required field of study: A field relevant to the role.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
• Visa sponsorship: We do sponsor visas.