HIRING ALERT | QUALITY ENGINEERING LEAD

Location:
Bangalore | Pune | Hyderabad | Chennai

Experience:
6–10 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

Solid stakeholder management & team leadership

📌 QUALITY ENGINEERING LEAD (Bengaluru East)
🏢 Vrinda International
📍 Bengaluru East