AI Data Testing Lead

Infosys; Hyderabad, Chennai District, Bengaluru; Hybrid; INR 1,800,000 - 2,600,000; Full time

Job summary

Infosys in Hyderabad seeks a senior Data Quality and AI Assurance specialist to lead data quality engineering and analytics testing across AI/GenAI programs. You will drive data governance, data readiness, and AI data harness assurance with stakeholders to ensure reliable data for decision making.

You will mentor teams, perform ETL/BI testing, and apply SQL, Python, PySpark, Playwright, and CI/CD practices on cloud platforms such as Azure, AWS, and GCP.

Qualifications

• 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.
• Hands-on Experience with Cloud Data & AI Platforms like Azure, AWS, GCP, Databricks, Snowflake, or similar.

Responsibilities

• Lead AI Data Assurance, AI/GenAI, Analytics, or AI Quality Engineering initiatives.
• Build and govern data quality and data readiness assurance for AI data pipelines.
• Mentor stakeholders and teams on data quality, governance, and responsible AI.

Skills

Data Quality

Analytics Testing

AI Data Assurance

GenAI

Data Governance

ETL Testing

SQL

Python

PySpark

Test Automation

CI/CD

Jira

AZURE/AWS/GCP

Tools

Snowflake

Databricks

Azure Data Factory

Python

Playwright

CI/CD

Jira

Job description

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
• Strong 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