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QUALITY ENGINEERING LEAD

Vrinda International

Job Location:

Bengaluru - India

Monthly Salary: ₹ 15 - 18

Experience Required: 6-10years

Posted: 13 August 2026 (6 hours ago)

Application Deadline: 10 November 2026

Vacancies: 1 Vacancy

Job Summary

HIRING ALERT QUALITY ENGINEERING LEAD

Location: Bangalore Pune Hyderabad Chennai

Experience: 610 Years

CTC: Up to 18 LPA

Role: Quality Engineering Lead

Domain: AI Data Assurance Data Quality GenAI Analytics Testing

About the Role

We are looking for an experienced Quality Engineering Lead to lead AI Data Assurance initiatives and ensure trusted high-quality AI-ready data foundations.

The ideal candidate should have strong expertise in Data Testing AI/ML Data Validation Analytics Testing AI/GenAI LLMs RAG DataOps/MLOps and Quality Engineering.

Key Responsibilities

Lead end-to-end AI Data Assurance & Quality Engineering programs

Define testing strategies frameworks quality gates and governance processes

Lead validation of data platforms pipelines BI analytics and AI-ready datasets

Implement assurance across RAG systems vector databases and AI workflows

Evaluate AI output quality reliability explainability and business alignment

Build automation frameworks and continuous quality monitoring

Integrate quality controls with DataOps MLOps & CI/CD pipelines

Lead and mentor Quality/AI Data Assurance teams

Collaborate with Data Engineering AI/ML Architecture Product and Business teams

Support client demos solutioning proposals and AI assurance offerings

Requirements

Must-Have Skills

AI Data Assurance / AI Quality Engineering

AI/ML GenAI LLMs & RAG Architecture

Data Quality & Data Governance

ETL / Data Warehouse / BI Testing

SQL Snowflake Databricks

Informatica & Azure Data Factory (ADF)

Python & PySpark

Prompt Engineering & Retrieval Assurance

Vector Databases & AI Data Pipelines

DataOps / MLOps & CI/CD

API Testing & Playwright

Azure / AWS / GCP

Jira Zephyr & Azure DevOps

Strong stakeholder management & team leadership

Required Skills:

Must-Have Skills AI Data Assurance / AI Quality Engineering AI/ML GenAI LLMs & RAG Architecture Data Quality & Data Governance ETL / Data Warehouse / BI Testing SQL Snowflake Databricks Informatica & Azure Data Factory (ADF) Python & PySpark Prompt Engineering & Retrieval Assurance Vector Databases & AI Data Pipelines DataOps / MLOps & CI/CD API Testing & Playwright Azure / AWS / GCP Jira Zephyr & Azure DevOps Strong stakeholder management & team leadership

Required Education:

Bachelors Degree in Mechanical Engineering (MBA is an added advantage).

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