Partner Solutions Architect, Applied AI

Anthropic Anthropic · AI Frontier · Tokyo, Japan · Applied AI

This role is a Pre-Sales Solutions Architect focused on building technical relationships with Anthropic's Global and Regional System Integrators (GSIs/RSIs) and cloud partners (AWS, GCP). The goal is to accelerate indirect revenue, enable partner AI practices, and execute Go-To-Market strategy. Responsibilities include acting as a technical thought partner, developing joint solutions, supporting customer deals, representing Anthropic at partner events, and gathering product feedback.

What you'd actually do

  1. 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.
  2. Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment
  3. Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
  4. Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences.
  5. Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

Skills

Required

  • 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager
  • 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
  • Strong presentation & 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
  • Fluent in Japanese and English

Nice to have

  • 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

What the JD emphasized

  • Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery
  • Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders
  • Familiarity with common LLM frameworks and tools or a background in machine learning or data science