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

Robust stakeholder management & team leadership

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