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.

- Strong 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 &





- Professional 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