QA AI API Function Tester

Quality Assurance (QA) Client Engagement Console (CEC)
Role Overview

The QA Engineer ensures the CEC platform delivers reliable accurate and audit-ready outcomes especially for AI-driven recommendations such as next best actions. This role is critical in validating data integrity AI outputs system performance and regulatory compliance while enabling a high-quality scalable MVP across Wealth Health and Career.

Key Responsibilities
1. Test Strategy & Planning
Define and implement a comprehensive QA strategy covering functional data AI/ML and non-functional testing
Develop test plans test cases and automation strategies aligned with MVP and Wave-based delivery
Ensure coverage across end-to-end workflows of the CEC platform
2. Functional & Integration Testing
Validate core features such as:
Client 360 views
Signal ingestion and prioritization
Next Best Actions recommendations
Reporting and dashboards
Perform API UI and system integration testing across multiple data sources
3. Data Quality & Validation
Ensure accuracy completeness and consistency of data powering the Golden Record
Validate data pipelines transformations and ingestion processes
Perform reconciliation testing across upstream and downstream systems
4. AI / GenAI Testing & Validation
Validate AI-driven outputs for:
Relevance and accuracy of recommendations
Hallucination detection and mitigation
Explainability and traceability (citations sources)
Design test scenarios for edge cases bias and model drift
Collaborate with data scientists to validate ML vs GenAI separation (truth engine integrity)
5. Automation & Continuous Testing
Build and maintain test automation frameworks (UI API regression)
Integrate QA into CI/CD pipelines for continuous testing
Enable test data management and reusable test assets
6. Performance Security & Compliance Testing
Conduct performance and scalability testing for large datasets and concurrent users
Validate security controls and data privacy compliance (especially for client-sensitive data)
Ensure outputs meet fiduciary and regulatory standards (auditability determinism)