Role & responsibilities
5+ years of experience in Data Quality Engineering, Analytics Testing, or Data driven transformation programs.
3+ years leading AI Data Assurance, AI/GenAI, Analytics, or AI Quality Engineering initiatives
Solid knowledge of AI/ML, GenAI, LLMs, various RAG Architectures, Prompt Engineering, Vector Databases, DataOps/MLOps, and AI Governance.
Robust expertise in ETL Testing, Analytics &
BI Testing, Reporting Validation, AI Data Readiness Assurance, AI Data Harness Assurance, AI Data Outcome Assurance and Continuous AI Assurance
Hands-on Experience with Cloud Data &
AI Platforms such as Azure, AWS, GCP, Databricks, Snowflake, Microsoft Fabric, or similar.
Robust leadership, stakeholder management, communication, and mentoring skills.

Technical &




Qualified Requirements
Agile Delivery, Quality Governance
AI Data Assurance, AI/ML, GenAI, LLMs &
RAG Architectures
Data Quality, Data Governance &
Responsible AI
ETL, Data Warehouse, Analytics, BI &
Data Integration Testing
SQL, Snowflake, Databricks, Informatica &
Azure Data Factory (ADF)
Prompt Engineering &
Retrieval Assurance
Python, PySpark &
Test Automation
Playwright, API Testing
Vector Databases, AI Data Pipelines, DataOps &
MLOps
Azure, AWS &
GCP Data &
AI Platforms
Jira, Zephyr, Azure DevOps &
CI/CD

📌 Ai Data Testing Lead Bengaluru
🏢 Infosys
📍 Bengaluru