Senior Solutions Architect

About This RoleAI processing…

Key Responsibilities

• 1
  Architect and deliver paid SOW enterprise Airtable implementations for strategic customers
• 2
  Lead scoping and design of Airtable AI solutions during professional services engagements
• 3
  Develop repeatable AI solution patterns, including AI workflows, automations, and structured data pipelines
• 4
  Establish best practices for data modeling, governance, and AI-enabled workflow design
• 5
  Partner with Engagement Managers to scope services engagements and define implementation plans
• 6
  Produce solution architecture diagrams, data models, and workflow documentation for enterprise customers
• 7
  Drive adoption of Airtable AI capabilities across multiple enterprise implementations
• 8
  Provide technical guidance and troubleshoot architectural challenges during implementations
• 9
  Collaborate with Product and internal teams to relay AI feature feedback and influence the roadmap

Requirements

• 5+ years of solution architecture, solution engineering, or technical consulting experience for enterprise SaaS platforms
• Strong understanding of data modeling, database design, and governance
• Experience designing workflow automation and operational systems
• Familiarity with AI-enabled SaaS capabilities (LLMs, AI automation, AI-assisted workflows, or AI copilots)
• Ability to translate complex business processes into scalable technical architectures
• Strong stakeholder communication skills across technical and executive audiences
• Experience scoping and delivering enterprise implementations
• Proficiency in process mapping and architecture documentation tools (e.g., Lucidchart, Visio)
• Experience designing AI-driven workflow solutions (LLMs, prompt design, AI agents, AI automation)
• Experience implementing platforms like Airtable, Notion, ServiceNow, Salesforce, Workato, or similar workflow/data systems
• Familiarity with APIs, integrations, and automation frameworks
• Experience with enterprise data governance and security models
• Experience in Professional Services or consulting organizations
• Technical familiarity with scripting or low-code/no-code platforms
• Experience developing repeatable architecture patterns or implementation frameworks

Perks & BenefitsTypical for this role