Leading internal AI transformation at your company? Join other leaders

Internal AI Job Board

Director, Enterprise Architecture & Intelligent Automation

GitLab - Remote, US

Non-technical Verified Jun 5, 2026 Source: gitlab.com

This role is part of the Internal AI Job Board, a curated list of jobs for teams building or operating internal AI systems. Follow the original role page for the employer description, requirements, and application flow.

Compensation: Salary Range $153,000 - $287,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, fi

Qualifications

  • Extensive experience defining and governing enterprise architecture in complex, matrixed organizations, including leading architecture strategy across core business systems such as ERP, CRM, CPQ, billing, and financial platforms.
  • Deep technical background across integration, automation, and AI, with the ability to step into Architecture, Integration, RPA teams and contribute meaningfully to design discussions and problem solving.
  • Expert-level knowledge of data modeling, integration architecture patterns, and API design, microservices architecture, including experience designing integration strategies that support both operational and analytical use cases.
  • Strong experience establishing and leading architecture review boards or similar governance frameworks, balancing partnership-oriented engagement with clear, enforceable standards.
  • Demonstrated success reducing shadow IT and software sprawl through thoughtful software governance, portfolio rationalization, and roadmap alignment with enterprise architecture principles.
  • Deep understanding of SOX compliance, internal controls, and security architecture for business applications, with experience designing audit-ready integration and automation patterns.
  • Exceptional communication and influencing skills, with the ability to engage VP and C-level stakeholders, translate complex architectural concepts into clear business language, and drive alignment across decentralized teams.
  • The Enterprise Architecture team at GitLab is responsible for designing, governing, and evolving the internal technology landscape that powers our business. We define how our core systems connect, integrate automation and AI into everyday workflows, and ensure our architecture is scalable, secure, and aligned with company priorities. Composed of experienced architects and engineers across integration, RPA, and AI, we operate asynchronously and partner closely with system owners in functions such as Sales, Finance, Customer Success, and Operations. We focus on setting clear architectural standards, rationalizing tools and automation, and guiding teams in using modern AI technologies to deliver measurable business impact while maintaining strong compliance and security practices. For more on how we work, see the Enterprise Applications Team Handbook Page (https://handbook.gitlab.com/handbook/business-technology/).
  • The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits (https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/) and equity (https://about.gitlab.com/handbook/stock-options/). Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
Apply on the original posting

Related internal AI jobs

Leading internal AI transformation at your company? Join other leaders

Internal AI jobs for people putting agents to work

The job board tracks internal AI operations and internal AI engineer roles at companies putting AI into daily work.

These roles give other teams leverage: better workflows, useful agents, internal tools, and support for adoption.

Built with Concept.dev

Concept works with leading enterprises to design, build, and deploy personalized AI coworkers. Concept is built by leaders from Ramp, OpenAI, Google DeepMind, and Scale.

X/Twitter · LinkedIn · Contact