Senior Solutions Architect

Airtable Airtable · Enterprise · United States · Remote · Customer Support

Senior Solutions Architect role focused on designing and leading the implementation of enterprise AI solutions, specifically agentic workflows, for customers. The role involves understanding customer business problems, recommending process redesign, and ensuring reliable production deployment of AI systems alongside humans. It emphasizes a deep understanding of AI's role in business transformation and client-facing delivery.

What you'd actually do

  1. Push to recommendations faster. Within the first engagements you are shaping direction and identifying where business processes need to change, not just mapping requirements. Enhanced handoffs and early POVs are how we create value at enterprise scale.
  2. Recommend changes beyond the platform when the engagement calls for it: process redesign, workflow ownership, how work moves between teams and between humans and agents.
  3. Design end-to-end solutions that translate existing enterprise workflows into architectures where humans and agents operate together.
  4. Identify where agentic workflows create real leverage and design the handoffs that make them reliable in production.
  5. Navigate organizational complexity: build coalitions, manage stakeholders with competing priorities, and find the internal champions who sustain momentum.

Skills

Required

  • AI tools to compress output (solution blueprints, discovery structuring, documentation drafting, automation logic prototyping)
  • Designing agentic workflows
  • Model selection
  • Prompt architecture
  • Human-in-the-loop checkpoints
  • AI oversight and risk management
  • Business process transformation
  • Leading complex client-facing engagements
  • Enterprise transformation
  • Professional services or management consulting background
  • Accountability for outcomes
  • Stakeholder management (C-level, technical, business SMEs)
  • Communication skills
  • Enterprise scale deployments
  • Compliance and security requirements

Nice to have

  • recommendations beyond the platform
  • process redesign
  • workflow ownership
  • designing handoffs for agentic workflows
  • creating reusable solution patterns and reference architectures
  • adapting designs as customer reality evolves

What the JD emphasized

  • AI is embedded in how you work
  • designed agentic workflows in practice
  • making decisions about model selection, prompt architecture, human-in-the-loop checkpoints, and where AI should not be trusted without oversight
  • identify where agentic systems create leverage versus where they introduce risk the customer isn't ready to manage
  • track record of leading complex engagements at VP and C-suite level
  • Enterprise scale: thousands of users, multi-business unit complexity, compliance and security requirements that shape what can be built and when.

Other signals

  • AI is embedded in how you work
  • designed agentic workflows in practice
  • identify where agentic systems create leverage versus where they introduce risk