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 robust expertise in Data Testing, AI/ML Data Validation, Analytics Testing, AI/GenAI, LLMs, RAG, Data Ops/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 Data Ops, 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

RequirementsMust-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
Data Ops / MLOps & CI/CD
API Testing & Playwright
Azure / AWS / GCP
Jira, Zephyr & Azure Dev Ops
Strong stakeholder management & team leadership

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