Anthropic

Solutions Architect, Applied AI

Anthropic

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14 days ago
Sydney, Australia
Senior
H1B Sponsor

Responsibilities

  • Partner with account executives to understand customer requirements and translate them into technical solutions.
  • Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey.
  • Support customers building with both the Claude API and Claude for Work.
  • Create and deliver compelling technical content tailored to different audiences.
  • Guide technical architecture decisions for effective integration of Claude into existing technology stacks.
  • Help customers develop evaluation frameworks to measure Claude's performance.
  • Identify common integration patterns and provide insights to Product and Engineering teams.
  • Travel occasionally to customer sites for workshops and relationship building.
  • Maintain strong knowledge of the latest developments in LLM capabilities.

Requirements

  • 5+ years of experience in technical customer-facing roles such as Solutions Architect or Sales Engineer.
  • Native-level Japanese fluency and business-level English required.
  • Experience working with enterprise customers and navigating complex buying cycles.
  • Exceptional ability to build relationships and communicate technical concepts to diverse stakeholders.
  • Strong technical communication skills to translate customer requirements between technical and business stakeholders.
  • Experience designing scalable cloud architectures and integrating with enterprise systems.
  • Comfortable with Python programming.
  • Familiarity with common LLM frameworks and tools or a background in machine learning.
  • Excitement for cross-organizational collaboration and balancing competing priorities.
  • A love of teaching, mentoring, and helping others succeed.
  • Excellent communication and interpersonal skills.

Benefits

  • Competitive compensation and benefits.
  • Optional equity donation matching.
  • Generous vacation and parental leave.
  • Flexible working hours.
  • A collaborative office space.

Tech Stack

Python

Categories

AI & MLData Science