Senior Solutions Architect, AI / Core DevOps - Gitlab - Remote - Global

As an AI Subject Matter Expert at GitLab, you will help shape how teams apply AI across the future of core DevOps. We designed this role for someone who combines deep technical credibility with a practical point of view on how AI can improve the software development lifecycle, from planning and coding through delivery and operations. You will work closely with customers, internal teams, and product-aligned stakeholders to bring clarity to emerging use cases, guide technical strategy, and turn ideas into grounded, real-world approaches. We are looking for someone who doesn't just talk about possibilities, but who regularly experiments, develops informed perspectives, and can explain the tradeoffs behind modern software development patterns. Your work will help GitLab link AI innovation to the day-to-day realities of developers and platform teams. Some examples of our projects: Exploring how AI can improve core DevOps workflows across the software development lifecycle Advising on practical approaches to automated and AI-assisted software delivery What you’ll do Serve as GitLab's AI subject matter expert for core DevOps, bringing technical depth and practical guidance to customer and internal conversations. Partner with customers and field teams to map AI use cases to real software development lifecycle challenges and recommend approaches that improve developer productivity, delivery speed, or operational reliability. Develop and share informed perspectives on the future of AI in software development, including emerging concepts such as more automated delivery workflows. Engage with product-aligned teams to ensure your domain expertise reflects how GitLab organizes and evolves its platform capabilities. Evaluate and discuss architectural tradeoffs such as monoliths versus microservices and monorepos versus polyrepos in the context of AI-enabled development. Draw on hands-on experience with modern DevOps tooling and automation, including areas such as continuous integration and continuous delivery, to inform strategic discussions. Collaborate asynchronously with teammates across regions to share findings, align recommendations, and keep customer and product work moving forward. Contribute to a streamlined interview and collaboration culture that values clear communication, iteration, and practical results.