QA Engineer - COM INGLÊS
Core
Define and execute quality strategies for data, integration, and AI solutions, including validating data pipelines, ingestion mechanisms, and AI-generated content.
Role type
Senior QA Engineer (Data & AI)
Builds
Data pipelines, AI agents, and intelligent workflows
Domain
Financial services and energy
Deliverable
production ML models | product features
Required skills
Test strategy design, SQL, data quality dimensions, data ingestion/transformation/reconciliation testing, root cause analysis, CI/CD integration, defect tracking, AI content evaluation, Human-in-the-Loop validation
Preferred skills
Generative AI testing, LLM evaluation (groundedness, hallucinations), RAG testing, Microsoft Copilot/Azure AI, Power Platform, Python for automation, security testing (prompt injection), observability
Technologies
SQL, Python, Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Power Platform, Power Automate, Microsoft Dataverse
Responsibilities
Create test strategies and plans from scratch; Define test scenarios, acceptance criteria, and traceability requirements; Execute functional, integration, regression, performance, and end-to-end tests; Validate data ingestion, transformation, and reconciliation processes; Design tests for missing, incomplete, or inconsistent data; Evaluate data quality, integrity, and consistency; Monitor dataset health and identify anomalies; Validate AI-generated content for accuracy, relevance, and safety; Test AI agents and workflows including memory and exception handling; Validate Human-in-the-Loop processes; Define quality metrics and tolerance limits; Report defects and communicate technical risks; Contribute to test automation and CI/CD pipelines
Seniority
Senior, hands-on IC