✦ Luna Orbit — AI & Machine Learning

Solutions Architect, Applied AI (Industries)

at Anthropic

📍 New York City, NY; San Francisco, CA | New York City, NY | Seattle, WA Hybrid Posted March 07, 2026
Type Not Specified
Experience mid
Exp. Years 5+ years
Education Not specified
Category AI & Machine Learning

This role involves architecting and advising on Large Language Model solutions for various industries, ensuring safety, scalability, and customer success.

  • Partner with sales teams to understand client needs
  • Design scalable LLM architectures
  • Support customer deployment with Claude API
  • Develop evaluation frameworks
  • Engage in technical deep dives and workshops

The technical environment includes LLMs, Claude API, enterprise AI deployment, safety standards, and cross-team collaboration.

The ideal candidate is a solutions architect with over 5 years of experience in enterprise AI solutions, specializing in Large Language Models like Claude. They excel in customer engagement, technical design, and cross-team collaboration across industries.

5+ years of experience in technical customer-facing rolesExperience working with enterprise customersSolutions architectureCustomer relationship management
Claude APIClaude for Work
Large Language ModelsLLMClaudeAPITechnical ArchitectureCustomer-facing skillsEvaluation frameworksSafety and reliability standards
Large Language ModelsLLMClaudeAPITechnical ArchitectureCustomer-facing skillsEvaluation frameworksSafety and reliability standards
Relationship buildingCommunicationCustomer successTechnical advisingCross-team collaboration
Industry Industry-Specific
Job Function Enterprise AI solutions architect for industry-specific applications
Solutions ArchitectApplied AILarge Language ModelsLLMClaudeAPIEnterprise solutionsCustomer-facingTechnical ArchitectureEvaluation frameworksSafety and reliabilityWork solutionsCross-team collaborationClaude APIClaude for WorkSolutions architecture

No experience with enterprise AI solutions, Lack of solutions architecture background, Insufficient customer-facing experience

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