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AnthropicAnthropicSan Francisco, CA

Applied AI Architect, Partnerships

Pre-sales Solutions Architect partnering with GSIs, RSIs, and cloud providers (AWS/GCP) to enable AI practices, develop joint GenAI solutions and reference architectures, support strategic deals, and gather product feedback. Requires 5+ years in customer/partner-facing technical roles with strong cloud architecture and communication skills.

275k – 380k
Hybrid5+ YOESolutions Architecture

About the role

Responsibilities

  • Serve as a technical thought partner to the Anthropic GTM partnerships team, providing expertise on partner landscape, driving strategic programs, and deepening partner technical capabilities.
  • Embed with GSI and cloud partner technical teams to enable AI practices, support troubleshooting, evangelize Anthropic, and act as escalation point for complex issues.
  • Collaborate with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures/best practices.
  • Provide deep technical expertise and solution architecture guidance to unblock strategic customer deals where partners handle primary delivery.
  • Represent Anthropic at partner events, workshops, summits, conferences; lead or support developer events, hackathons, and technical enablement sessions.
  • Gather and validate product feedback from partner use cases and deployment patterns to inform roadmap and strategy.

Requirements

  • 5+ years in technical customer-facing or partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, or Technical Account Manager.
  • Track record of successfully partnering with GSIs and/or cloud providers (AWS, GCP) to solve complex technical challenges from design through delivery.
  • Ability to build relationships and communicate technical concepts to diverse stakeholders including C-suite executives, engineering, and IT teams.
  • Strong presentation and technical communication skills; ability to translate between technical and business requirements.
  • Experience designing scalable cloud architectures and integrating with enterprise systems.
  • Familiarity with common LLM frameworks and tools, or background in machine learning or data science.
  • Excitement for cross-organizational collaboration, working through trade-offs, and balancing priorities.
  • Passion for teaching, mentoring, and using technology safely and beneficially to advance safe AI systems.
  • Bachelor’s degree or equivalent combination of education, training, and/or experience in a relevant field.

Nice-to-Haves

  • Experience with GenAI applications, reference architectures, and best practices for deployment.
  • Background in machine learning or data science beyond basic familiarity.

Skills

Solutions ArchitectureSales EngineeringCloud ArchitectureAWSGCPLlm FrameworksMachine LearningGenerative AIEnterprise IntegrationTechnical CommunicationPartner Enablement

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