Senior Enterprise Architect, AI & Integration

GitLab Inc.; Northern (KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

GitLab Inc. is seeking a Staff Enterprise Architect to design and evolve internal systems and integrate AI across business platforms.

The role reports to the Director of Enterprise Architecture and AI Intelligent Automation and focuses on turning strategy into high‑fidelity designs for Salesforce, NetSuite, Zuora, Zendesk, and other core platforms. You will lead through architecture rather than people, partnering with Applications engineering, Integration, RPA, and Intelligent Automation teams

Qualifications

• Deep expertise in application architecture and data architecture, with AI as a working lens across all four.
• Hands-on integration and automation experience with AI guardrails and governance.
• Experience architecting ERP/CRM/CPQ, billing, financial and customer service platforms.
• Ability to drive architectural change with influence across teams and stakeholders.

Responsibilities

• Map current-state processes and capabilities across systems, tying capabilities to owners and systems of record.
• Architect end-to-end processes spanning front- and back-office systems (CPQ, billing, revenue, record-to-report).
• Redesign workflows before automation, clarifying AI, automated, and human tasks for each step.
• Collaborate with domain leads and engineering teams to run quarterly health checks on Salesforce, NetSuite, Zuora, Zendesk, and Workato.

Skills

Application architecture

Data architecture

AI integration

SOX compliance

ERP/CRM/CPQ

Tools

Claude

Workato

Salesforce

NetSuite

Zuora

Zendesk

Job description

GitLab Inc. is seeking a Staff Enterprise Architect to design and evolve internal systems and integrate AI across business platforms.

The role reports to the Director of Enterprise Architecture and AI Intelligent Automation and focuses on turning strategy into high‑fidelity designs for Salesforce, NetSuite, Zuora, Zendesk, and other core platforms. You will lead through architecture rather than people, partnering with Applications engineering, Integration, RPA, and Intelligent Automation teams