Test Lead (AI Validation & Integration)

Digital Forms; Poland; On-site; PLN 212,494 - 297,492; Full time

Job summary

Digital Forms is looking for an experienced Test Lead in Poland to define and deliver the Testing and AI Validation Strategy for a high-impact solution in a regulated industry. You will design comprehensive testing strategies and manage end-to-end testing efforts including validation for AI components.

The ideal candidate will have strong skills in QA strategy, hands-on automation experience, and a solid understanding of privacy standards. Full-time availability with some overlap with USA clients is required.

Qualifications

• Experience defining end-to-end testing strategies for complex solutions.
• Experience in designing and executing E2E tests for complex systems.
• Proven ability to validate AI models.
• Experience strategizing and managing test data across environments.
• Ability to track and report on specific QA metrics.
• Good communication skills (written and verbal).

Responsibilities

• Own the QA Strategy and define comprehensive Testing and AI Validation.
• Execute functional, regression, exploratory, performance, and load tests.
• Coordinate end-to-end validation efforts with the client team.
• Integrate testing activities into the CI/CD pipeline.
• Provide regular reporting, tracking key QA metrics.

Skills

Fluent English

QA Strategy

End-to-End Testing

AI/ML/LLM Testing Experience

Test Data Management

Traceability mindset

Experience testing NFRs

Strong understanding of privacy

Hands-on automation experience

QA Metrics

Good communication skills

Jira Proficiency

Job description

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. In this role, you will own both definition and delivery of the Testing & AI Validation Strategy. You will be responsible for defining how solution outputs are verified for correctness, reliability, and safe operation, bridging the gap between newly developed AI Agents components and the client’s Salesforce environment.

What you’ll do

Strategy & Planning

• Own the QA Strategy: Design, plan and develop the comprehensive Testing and AI Validation Strategy, covering FunctionalUnit, 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.

Execution & Reporting

• 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.

Project context

We are developing a data validation and automation engine that processes structured and unstructured inputs against a complex logic framework. The system utilizes AI models to interpret user-submitted data, identifying discrepancies and missing information before mapping the results to a structured output format. Key components include automated ingestion, rule-based validation logic, and integration with existing enterprise architecture in a highly regulated industry. The project is a new initiative with a client we have previously collaborated with, currently finalizing the Discovery Phase and moving into Delivery.

Technical Requirements (must-haves)

• 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

Additional Requirements (nice-to-have)

• Familiar with AWS platform
• ISTQB or similar certifications
• Previous experience in fast-paced consulting or client-facing projects