AI QA Lead Engineer

Iflowtech Solutions; Chennai District; On-site; INR 2,160,000 - 2,640,000; Full time

Job summary

Iflowtech Solutions in Chennai invites an AI QA Lead Engineer with 8-12 years of experience to shape our quality framework. You will define test strategies, drive automation, and ensure data integrity across migrations and releases.

You will mentor QA teams, oversee API, SQL, and data reconciliation validation, and coordinate UAT with stakeholders to deliver reliable AI-enabled platforms.

Qualifications

• Experience in defining test strategies and quality standards for large-scale platforms.
• Ability to lead integration, regression, UAT, and release testing across teams.
• Proficiency in data validation, migrations, and reconciliation testing.

Responsibilities

• Define test strategy and quality standards for the platform.
• Lead integration, regression, UAT, and release testing activities.
• Validate migration outcomes and data reconciliation results.
• Drive automation strategy across squads.
• Mentor QA resources and establish best practices.

Skills

Test Automation

API Testing

SQL Validation

Data Reconciliation Testing

Integration Testing

Regression Testing

UAT Coordination

Release Validation

Defect Management

Root Cause Analysis

GenAI

Prompt Engineering

AI Code Review

LLM Concepts

Tools

Databricks Validation Frameworks

PySpark Testing

Performance Testing

Job description

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 clear 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.