Lead QA Engineer – AI Application Quality Assurance

About the role

Inception42 is seeking a Lead QA Engineer to define and drive the quality assurance strategy for AI‑enabled financial applications and enterprise platforms. The role blends technical leadership with hands‑on testing of functional, AI‑driven user experiences, APIs, data flows and business workflows.

Key responsibilities

• Own end‑to‑end QA strategy, test planning and execution for functional, integration, regression, usability, accessibility and performance testing.
• Lead and mentor QA engineers, review test designs and automation code, and maintain consistent testing standards across internal and vendor teams.
• Validate AI application behavior, conversational experiences, document ingestion, retrieval workflows and AI‑driven orchestration.
• Build and maintain scalable automation frameworks for UI, API, integration and data validation testing.
• Integrate automated smoke and regression testing into CI/CD pipelines and ensure daily feedback.
• Collaborate with Security and Compliance teams to verify controls and drive defect triage and root‑cause analysis.

Required profile

• Bachelor’s degree in Computer Science, Engineering or related field.
• At least 10 years of QA experience, including 3 years in technical leadership.
• Hands‑on experience testing AI‑enabled applications such as conversational assistants or document processing.
• Strong expertise in functional, exploratory and automation testing.
• Experience validating financial workflows, access controls and audit requirements.

Required skills

• Test automation tools: Selenium, Playwright, Cypress, REST Assured.
• Programming languages: Python, TypeScript, Java.
• API testing: Postman, REST APIs, authentication and authorization.
• CI/CD and test management: Azure DevOps, GitHub Actions.
• Azure services: App Services, Azure Functions, AKS.
• Data platforms: SQL, Azure Data Factory.

What we offer

• Open, diverse and inclusive culture with global vision.
• Outstanding learning, development and growth opportunities via structured training and high‑tech projects.
• Competitive remuneration package with healthcare, education support and generous leave benefits.