Senior QA Automation Engineer - Enterprise Platforms & AI (PL4242)

Paralucent is seeking a Senior QA Automation Engineer to lead quality engineering for a complex enterprise workflow and case-management platform. You will build the automation strategy and ensure requirements are traced through functional, integration, end-to-end, performance, resilience, security, accessibility, RPA and AI/model testing. The ideal candidate treats quality as a delivery system, not a final testing phase. What You'll Do - Create the test strategy, automation architecture, environment/data plan and quality gates for incremental releases. - Translate acceptance criteria, controls and non-functional requirements into executable tests and evidence. - Automate API, UI, workflow, document, integration and regression testing. - Design end-to-end scenarios covering intake, classification, routing, information retrieval, approvals, exceptions, dispatch, closure and audit. - Test failure handling, retries, reconciliation, unavailable systems, low-confidence AI results and manual fallback. - Coordinate performance, resilience, disaster-recovery, accessibility and security testing with specialist teams. - Lead AI-specific evaluation testing, including false positives/negatives, unsupported outputs, confidence thresholds and human overrides. - Maintain requirements-to-test-to-evidence traceability and production-readiness reporting. - Support UAT, defect triage, root-cause analysis, release decisions and post-production monitoring. - Coach engineers on shift-left testing and testability. What Success Looks Like - Critical user journeys and controls have automated regression coverage. - Defects are detected before UAT and production, with improving escape and rework trends. - Every production release has complete, reviewable test evidence. - Integration, RPA, AI and fallback scenarios are tested under realistic conditions. - Quality reporting gives decision-makers a clear view of release risk.