Test Lead (AI Validation & Integration)
Digital Forms
Skill Required
Key highlights
- Lead QA and AI validation for a regulated AI + Salesforce project, owning strategy and hands-on testing across E2E, integration and NFR with CI/CD and close client collaboration.
- New project for established client relationship, moving from Discovery into Delivery phase
- Highly regulated industry with complex AI + Salesforce integration requirements
- Full-time role with required overlap (14:00-18:00) for USA client collaboration
Role overview
We are looking for an experienced Test Lead to drive the Quality and Validation strategy for a high-impact solution in a highly regulated industry, involving AI components and Salesforce integration. This is a new project for a client with whom we have already established collaboration during other projects. We are finalizing the Discovery Phase for this project and moving into Delivery. The solution involves developing a data validation and automation engine that processes structured and unstructured inputs against a complex logic framework, utilizing AI models to interpret user-submitted data, identify discrepancies and missing information, and map results to structured output formats. Key components include automated ingestion, rule-based validation logic, and integration with existing enterprise architecture.
Responsibilities
- Own the QA Strategy: Design, plan and develop the comprehensive Testing and AI Validation Strategy, covering Functional Unit, E2E, Integration, Regression, and User Acceptance Testing (UAT).
- Address NFR and align against standards (e.g. GDPR, HIPAA, HITRUST, etc.)
- AI Validation Logic: Define validation plans for AI components, specifically determining what constitutes "correct" output, setting success thresholds, and establishing evaluation methods (including handling hallucinations and grounding rules).
- Environment & Data: Create detailed plans for Test Environments (Dev/Test/Prod) and define the Test Data Strategy to ensure sufficient coverage for standard scenarios, edge cases, and ingestion failures.
- Hands-on Testing: Execute functional, regression, exploratory, performance, and load tests.
- Integration Coordination: Coordinate "Joint End-to-End Validation" efforts, collaborating with the client team to manage testing of Salesforce integration
- Pipeline Integration: Integrate testing activities into the CI/CD pipeline for continuous quality assurance
- Process Management: Manage Jira test case structures aligned to user stories and acceptance criteria
- Metrics: Provide regular reporting, tracking key QA metrics such as defect ratios
Requirements
- Fluent English
- QA Strategy: Experience defining end-to-end testing strategies for complex solutions
- End-to-End Testing: Experience in designing and executing E2E tests for complex, integrated systems using any modern testing technology
- AI/ML/LLM Testing Experience: Proven ability to validate AI models
- Test Data Management: Experience strategizing and managing test data across multiple environments (Dev/Test/Prod)
- Traceability mindset: linking requirements → test cases → evidence → defects → release decisions.
- Experience testing NFRs: performance, reliability, auditability, security basics.
- Strong understanding of privacy and sensitive data handling in testing (PII/PHI minimization, masking/anonymization)
- Hands-on automation experience (at least one strong stack): e.g., Python/Java/JS + frameworks (pytest/JUnit/etc.)
- QA Metrics: Ability to track and report on specific QA metrics, such as defect ratios
- Good communication skills (written and verbal)
- Jira Proficiency
- Full time availability, with overlap during 14:00-18:00 - to ensure seamless collaboration with USA based client
Nice to have
- Familiar with AWS platform
- ISTQB or similar certifications
- Previous experience in fast-paced consulting or client-facing projects