✦ Luna Orbit — AI & Machine Learning

Solutions Architect, Applied AI (Digital Native Business)

at Anthropic

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

This role involves serving as a technical advisor for enterprise clients, helping them understand, evaluate, and deploy Claude AI solutions, with a focus on scalable architectures and customer engagement.

  • Partner with sales teams
  • Design scalable AI solutions
  • Guide customer integrations
  • Conduct technical deep dives
  • Support enterprise deployments

The technical environment includes large language models, API integrations, evaluation frameworks, and scalable AI architectures, supporting enterprise deployment and technical deep dives.

The ideal candidate is a solutions architect with over 5 years of experience in technical customer-facing roles, proficient in AI/ML technologies, scalable architectures, and enterprise integrations, with strong communication skills.

5+ years in technical customer-facing rolesExperience with enterprise customersStrong ability to communicate technical conceptsExperience with AI/ML technologiesKnowledge of scalable architectures
Experience with Claude or similar LLMsExperience with evaluation frameworksUnderstanding of enterprise technology stacks
ClaudeClaude for WorkAPIEvaluation Frameworks
Solutions ArchitectureAIClaudeAPILLMEvaluation FrameworksScalable ArchitecturesCustomer-facingTechnical Deep Dives
Solutions ArchitectureAIArtificial IntelligenceClaudeAPILLMEvaluation FrameworksScalable ArchitecturesCustomer-facingTechnical Deep Dives
Relationship BuildingCommunicationTechnical LeadershipProblem-solvingCollaboration
Industry SaaS, Enterprise Software, AI, Cloud
Job Function Architect and advise on AI solutions for enterprise clients using Claude and related technologies.
Solutions ArchitectClaudeAPILLMEvaluation FrameworksScalable ArchitecturesCustomer-facingTechnical Deep DivesEnterprise CustomersAI

Less than 5 years of relevant experience, No experience with enterprise customers, Lack of knowledge of scalable architectures

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