Applied AI Architect, Partnerships

As a Partners Solutions Architect on Anthropic's Applied AI team, you'll be a pre-sales architect focused on building technical relationships with our Global and Regional System Integrators (GSIs/RSIs) and cloud partners (AWS and GCP). You'll strengthen these relationships to accelerate indirect revenue, enable partners' AI practices, and execute our long-term go-to-market strategy.

• Act as a technical thought partner to the Anthropic GTM partnerships team, bringing technical expertise to understand the partner landscape, drive key strategic programs, and deepen partner technical capabilities.
• Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, and evangelize Anthropic in their developer communities; serve as an escalation point for complex technical issues.
• Work with partners to identify high-value, industry-specific GenAI applications, develop joint solutions, and codify reference architectures and best practices that speed time to deployment.
• Step in to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
• Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences; lead or support partner-specific developer events, hackathons, and technical enablement sessions.
• Gather and validate feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver it to relevant teams to inform the product roadmap and partner strategy.

• 5+ years in technical customer-facing or partner-facing roles, such as Solutions Architect, Sales Engineer, Partner Sales Engineer, or Technical Account Manager.
• A track record of partnering successfully with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery.
• Exceptional ability to build relationships and communicate technical concepts to diverse stakeholders, including C-suite executives and engineering and IT teams.
• Strong presentation and technical communication skills, with the 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 a background in machine learning or data science.
• Enthusiasm for cross-organizational collaboration, working through trade-offs, and balancing competing priorities.
• A love of teaching, mentoring, and helping others succeed.
• A passion for using technology in ways that are safe and beneficial, and that advance the goal of safe AI systems.

• 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 as demonstrated through coursework, training, or professional experience.
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Annual Salary: £150,000—£190,000 GBP. For sales roles, the range provided is the role's On Target Earnings (OTE) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.