Description

The Automation QA Engineer defines, implements, and continuously improves quality assurance practices for AI enabled and agent based solutions. The role ensures systems meet agreed standards for accuracy, reliability, performance, safety, and compliance, and supports operational readiness through automated evaluation and monitoring.

The Role

Definition and execution of testing and quality assurance strategies for AI enabled workflows
Continuous evaluation and monitoring of system behavior in production environments
Contribution to auditability, risk management, and continuous quality improvement
Define quality criteria and testing strategies for agent workflows, covering accuracy, latency, safety, compliance, and operational risk
Build automated evaluation harnesses to assess agent performance, including hallucination rates, tool misuse, policy violations, and task success
Implement continuous production monitoring to detect anomalies, quality degradation, and emerging safety concerns




Develop and maintain automated test suites using Playwright for UI testing and custom scripts for API and workflow validation
Apply LLM evaluation frameworks to assess output quality, regression, and system drift over time
Produce and maintain dashboards and reports that communicate quality metrics and trends to engineering and stakeholders
Develop and maintain runbooks for common failure modes and contribute to incident response activities
Collaborate closely with developers to improve prompts, tool definitions, and workflow designs based on test results
Ensure testing, logging, and monitoring practices align with data privacy, audit, and regulatory requirements

Qualifications

Minimum 3 years’ experience in QA, test automation, or DevOps roles (or 2 years with direct experience testing AI or ML enabled systems)
Strong Python skills for test automation, evaluation harnesses, and basic data analysis
High attention to detail, with a focus on issues that materially impact

📌 AI Automation QA# (Ciudad de México)
🏢 WTW
📍 Ciudad de México