AI QA Lead Engineer

Chennai

8-12 Years

Role Summary

Responsible for establishing quality standards, testing strategy, release readiness, and data validation practices across the platform.

Responsibilities

Define test strategy and quality standards

Lead integration, regression, UAT, and release testing

Validate migration outcomes and data reconciliation results

Drive automation strategy

Mentor QA resources and establish best practices

Required Skills

Test Automation

API Testing

SQL Validation

Data Reconciliation Testing

Integration Testing

Regression Testing

UAT Coordination

Release Validation

Defect Management

Root Cause Analysis

GenAI

Hands-on experience with GenAI coding assistants (Claude Code, GitHub Copilot, or similar) for AI-assisted development.





Prompt engineering skills - writing transparent instructions and feedback to guide AI toward desired output.

Ability to critically review and validate AI-generated code and content before use.

Basic understanding of LLM concepts - RAG, context windows, hallucinations, and responsible AI practices.

Preferred Skills

Databricks Validation Frameworks

PySpark Testing

Performance Testing

Banking Applications

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI QA Lead Engineer (Chennai)
🏢 Iflowtech Solutions
📍 Chennai