Applied AI Architect (Partnerships)

Join Anthropic, a leading AI safety and research company, as an Applied AI Architect. In this role, you will cultivate technical relationships with global and regional system integrators and cloud partners, strengthen partnerships to accelerate indirect revenue, and collaborate on joint solution development. You will also support strategic customer deals, represent Anthropic at partner events, and provide product feedback. Enjoy comprehensive benefits, a competitive salary, and the opportunity to make a meaningful impact in the field of AI.

• Cultivating technical relationships with Global and Regional System Integrators (GSIs/RSIs) and cloud partners (AWS and GCP).
• Collaborating with partners to identify high-value industry-specific GenAI applications, developing joint solutions, and codifying reference architectures.
• Representing Anthropic at partner events, leading or supporting partner-specific developer events, hackathons, and technical enablement sessions.
• Experience designing scalable cloud architectures and integrating with enterprise systems
• Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders
• 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager
• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• A love of teaching, mentoring, and helping others succeed
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
• 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 to include C-suite executives, engineering & IT teams, and more
• Familiarity with common LLM frameworks and tools or a background in machine learning or data science
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed