GitLab
DevSecOps
SeniorAIEngineer
“Senior AI Engineer at GitLab. Skills: AI Engineering, Solution Delivery, Business Problem Diagnosis. Diagnose business problems before building solutions. Map workflows, identify constraints, and confirm AI intervention”
What You'll Achieve.
Drive measurable business outcomes; Deliver working prototypes in days, not months; Focus on practical outcomes and measurable business value; Measure success using flow metrics alongside adoption and ROI
Industry & Context.
Solve complex problems; Diagnose business problems; Identify constraints; Validate AI as the right solution
What They're Looking For.
Must Have
AI-first company transformation, Hands-on technical leadership, Deliver internal AI-powered solutions, Drive measurable business outcomes, Understand real problems, Map how work moves, Identify true constraints, Validate AI as the right solution, Ownership from discovery through deployment, Combine engineering skills, Systems thinking, Business understanding, Embed AI solutions into key systems and workflows, Improve organizational flow, Reduce bottlenecks, Shorten lead times, Increase throughput, Measure success using flow metrics, Measure adoption, Measure ROI, Integrate AI capabilities into existing systems, Use APIs, Use orchestration tools, Use modern AI platforms, Leverage GitLab's AI offerings, Feed real-world usage insights back to R&D
Nice to Have
GitLab Duo Agent Platform
What You'll Do.
Diagnose business problems before building solutions
and confirm AI intervention
Own AI initiatives end-to-end
and ship AI-powered solutions quickly
Improve organizational flow by building solutions
Integrate AI capabilities into existing systems and workflows
Leverage and showcase GitLab's AI offerings
Feed real-world usage insights back to R&D
How You'll Work.
Team & Collaboration
Collaborating with industry leaders; Working with product teams; Collaborating with stakeholders
Applying for this Senior AI Engineer role?
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