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.
Strong 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 Hyderabad
🏢 Infosys
📍 Hyderabad