Senior Solutions Architect

about 6 hours ago

New York, NY, USA +2 more

Senior

H1B Sponsor

Base Salary

$191k - $277k/yr

Responsibilities

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

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.