Applied AI Architect, Partnerships

Overview

Pre-sales architect on the Applied AI team, cultivating technical relationships with Global and Regional System Integrators (GSIs/RSIs) and cloud partners to accelerate indirect revenue and enable their AI practices.

What you'll do

• Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise on the partner landscape and driving key strategic programs.
• Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.
• 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.
• Intervene directly 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, summits, and industry conferences.
• Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.
• Validate and gather feedback on Anthropic's products as they relate to partner use cases and deployment patterns, and deliver it to relevant teams to inform the product roadmap and partner strategy.

What you'll need

• 10+ years of experience in technical customer-facing or partner-facing roles such as Solutions Architect, Sales Engineer, or Partner Sales Engineer.
• 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 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.
• 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.

Nice to have

• A love of teaching, mentoring, and helping others succeed.
• Passion for thinking creatively about how to use technology safely and beneficially, furthering the goal of advancing safe AI systems.

Details

• Location: Bangalore, India.
• Location-based hybrid policy: staff are expected to be in an office at least 25% of the time; some roles may require more.
• Visa sponsorship is available for some roles and candidates; not guaranteed for every role.