Solutions Architect, Applied AI

Skills

Responsibilities

• 01Partner with account executives across South Korea to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
• 02Serve as the primary technical advisor to enterprise customers across South Korea throughout their Claude adoption journey, from discovery to initial evaluation through deployment
• 03Support customers building with both the Claude API and Claude for Work
• 04Create and deliver compelling technical content tailored to different audiences across South Korea
• 05Guide technical architecture decisions and help customers across South Korea integrate Claude effectively into their existing technology stack
• 06Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
• 07Identify common integration patterns and contribute insights back to our Product and Engineering teams
• 08Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
• 09Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

Requirements

• 015+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
• 02Native-level Korean fluency and business-level English required
• 03Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
• 04Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
• 05Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
• 06Experience designing scalable cloud architectures and integrating with enterprise systems
• 07Comfortable with python
• 08Familiarity with common LLM frameworks and tools or a background in machine learning or data science
• 09Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• 10A love of teaching, mentoring, and helping others succeed
• 11Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders
• 12Passion 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
• 13Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• 14Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

What we offer

• 01Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time
• 02Visa sponsorship: We do sponsor visas
• 03Deadline to apply: None
• 04Applications will be reviewed on a rolling basis