Senior Solutions Architect

Airtable Airtable · Enterprise · New York, NY +2 · Remote · Customer Success & Services

Senior Solutions Architect to partner with enterprise customers to design and implement complex, AI-enabled Airtable solutions. This role will lead the architecture and delivery of enterprise implementations, translating business workflows into scalable, AI-powered systems. Responsibilities include architecting and delivering paid SOW enterprise Airtable implementations, leading scoping and design of Airtable AI solutions, developing repeatable AI solution patterns, and driving adoption of Airtable AI capabilities.

What you'd actually do

  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. Drive adoption of Airtable AI capabilities across multiple enterprise implementations

Skills

Required

  • 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

What the JD emphasized

  • AI-enabled Airtable solutions
  • AI-powered systems
  • Airtable AI capabilities
  • AI-driven workflow solutions

Other signals

  • AI-enabled Airtable solutions
  • AI-powered systems
  • Airtable AI capabilities
  • AI-driven workflow solutions