Senior Test Automation AI Engineer (Automation & Operations) - Vice President - Dallas

Job description

Role Overview: In the rapid development landscape of 2026, the role of a Senior AI/ML Engineer in test automation is to transform Quality Assurance (QA) from a reactive bottleneck into a proactive, intelligent layer. By leveraging Large Language Models (LLMs) and agentic workflows, you will build a "self-healing" test harness that provides the confidence needed for continuous, high-velocity deployments. Responsibilities: - Autonomous Test Harness Engineering: Design and maintain "self-healing" test frameworks that use AI to automatically update locators and scripts when UI or API schemas change, reducing maintenance toil by up to 70%. - LLM-Powered Test Generation: Implement agentic workflows (using frameworks like LangGraph or CrewAI) to analyze Jira stories, PR diffs, and system architecture to generate comprehensive test suites, including edge cases and negative scenarios. - Intelligent Observability & Monitoring: Build telemetry pipelines that use ML for anomaly detection and predictive risk analysis, identifying high-risk code areas before they reach production. - Synthetic Data Orchestration: Leverage Generative AI to create high-fidelity, privacy-compliant synthetic datasets...