Responsibilities Explore, configure, and evaluate AI tools for issue detection, code change analysis, product risk identification, and QA workflow improvement Build practical AI-assisted quality checks for merge requests, peer reviews, continuous integration workflows, and product change validation Assess how new code changes align with existing code patterns, product behavior, known risks, and historical defects Validate AI-generated findings from a QA perspective, ensuring they are useful, explainable, actionable, and not excessive noise Help define AI-assisted quality gates for Core application repositories and support their gradual rollout in CI workflows Translate QA knowledge into prompts, workflows, playbooks, checklists, and evaluation criteria that can scale across teams Partner with developers, QA engineers, automation engineers, architects, product managers, and QE Champions to embed quality earlier in the lifecycle Identify high-value AI-for-QA use cases across regression analysis, impact assessment, exploratory testing support,



and release risk evaluation Run structured experiments to measure the efficiency of AI quality checks and improve them based on real outcomes Contribute to QA ownership shift initiatives including quality playbooks, scorecard baselines, and product-team quality enablement Requirements 5+ years of professional experience in software quality assurance Strong hands‑on experience testing sophisticated products, platforms, games, or large-scale applications Senior‑level QA judgment including significant risk analysis, exploratory thinking, defect investigation, regression assessment, and release quality evaluation Keen passion for AI and direct experience employing AI tools to boost analysis, investigation, documentation, testing, code insight, or routine workflows Familiarity with Git workflows, pull requests, code reviews, CI/CD concepts, SDLC practices, and modern engineering collaboration Ability to distinguish meaningful quality risks from low-value AI noise and challenge AI outputs critically Strong communication skills with the ability to explain quality risks, AI findings, and improvement opportunities clearly to technical and non-technical collaborators Comfortable working in ambiguous areas where processes, tooling, and success criteria are still being defined #J-18808-Ljbffr

📌 Senior Qa Ai Engineer (Barcelona)
🏢 Jobtailor
📍 Barcelona