AI Quality Engineering Lead

Full-time Other-General

AI Quality engineering Lead Core QE & Solution Architecture 15 years in Quality Engineering with a progression from hands-on to architecture to advisory; at least 4–5 years designing enterprise-scale QE solutions or leading QE technology practices that serve multiple product lines. Demonstrated ability to architect quality ecosystems — not just frameworks, but end-to-end quality platforms that integrate test intelligence, execution infrastructure, and quality analytics into a cohesive, scalable whole. Track record of driving measurable quality outcomes: cycle-time reduction, coverage expansion, defect-escape elimination — with the business metrics to prove it, not just technical deliverables. Deep understanding of quality measurement systems that connect engineering activity to business indicators — you build dashboards that CTOs present to boards, not test reports that PMs file away. Lead AI-led technology consulting across SRE, DevOps, and Data Intelligence domains — evaluating clien...