✦ Luna Orbit — Cloud & Infrastructure

Solutions Architect, Knowledge Management & Governance, Worldwide Field Enablement

at Amazon.com

📍 US, WA, Seattle Onsite Posted March 31, 2026
Type Full-Time
Experience senior
Exp. Years Not specified
Education Not specified
Category Cloud & Infrastructure

Solutions Architect focused on Knowledge Management & Governance for Worldwide Field Enablement, building AI-powered enablement systems, intelligent agents, and workflows that scale across the organization. The role emphasizes prompt engineering for LLMs, integration of AI into existing tools, and measurable ROI.

  • Architect AI-powered enablement systems
  • Build intelligent agents for knowledge management
  • Create workflow-integrated guidance within tools
  • Establish human-AI collaboration frameworks
  • Implement enablement initiatives across discovery, design, development, and evaluation

Technical scope includes AI-enabled architectures, multiple programming languages, cloud services (AWS), and data-enabled workflows. Emphasis on prompt engineering for LLMs and human-AI collaboration frameworks.

The ideal candidate is a senior solutions architect with deep experience in cloud architecture and AI-enabled enablement programs. They bring strong coding skills (Python, Node.js, C#, C++), prompt engineering for LLMs, and a track record of delivering scalable, governance-driven AI solutions in large organizations.

Experience with one of: PythonRubyNode.jsC#or C++Experience in Cloud ArchitectureSystems DesignSoftware DevelopmentInfrastructure ArchitectureData Engineering or DevOpsDemonstrated experience in prompt engineering for large language models (LLMs)
Experience implementing a cloud-based technology solutionKnowledge of AWS services (EC2EBSS3)
PythonRubyNode.jsC#C++Amazon Web ServicesEC2Elastic Block StoreS3Microsoft Visual Studio
PythonRubyNode.jsC#C++Cloud ArchitectureSystems DesignSoftware DevelopmentInfrastructure ArchitectureData EngineeringDevOpsAmazon Web ServicesAWSEC2Elastic Block StoreS3Large Language ModelsLLMsPrompt EngineeringKnowledge ManagementGovernance
PythonRubyNode.jsC#C++Cloud ArchitectureSystems DesignSoftware DevelopmentInfrastructure ArchitectureData EngineeringDevOpsAmazon Web ServicesAWSEC2Elastic Block StoreS3LLMsPrompt EngineeringKnowledge ManagementGovernance
CuriosityCollaborationCommunicationProblem solvingAdaptabilityMentorship
Industry Technology
Job Function Design and implement AI-powered enablement solutions at scale within AWS to improve learning and governance across the organization.
Role Subtype Solutions Architect
Tech Domains Amazon Web Services, Cloud Architecture, Python, Node.js, C#, C++, S3, EC2, Elastic Block Store, LLMs
{'term': 'Solutions Architect''capitalization': 'exact'}{'term': 'Knowledge Management & Governance'{'term': 'Worldwide Field Enablement'{'term': 'AI-driven enablement'{'term': 'AI-powered enablement'{'term': 'prompt engineering'{'term': 'large language models'{'term': 'LLMs'{'term': 'Python'{'term': 'Ruby'{'term': 'Node.js'{'term': 'C#'{'term': 'C++'{'term': 'Cloud Architecture'{'term': 'Systems Design'{'term': 'Software Development'{'term': 'Infrastructure Architecture'{'term': 'Data Engineering'{'term': 'DevOps'{'term': 'Amazon Web Services'{'term': 'AWS'{'term': 'EC2'{'term': 'Elastic Block Store'{'term': 'S3'Solutions ArchitectAWSPythonNode.jsC#C++Cloud ArchitectureSystems DesignData EngineeringPrompt Engineering

Lack of hands-on experience with AWS and cloud architecture, No experience in prompt engineering or LLMs, Insufficient track record in architecture roles

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