AI Data Testing & Assurance Lead

Infosys; Hyderabad, Chennai District, Bengaluru; Hybrid; INR 1,200,000 - 2,200,000; Full time

Job summary

Infosys in Hyderabad seeks an experienced Data Quality Engineer to lead AI data assurance initiatives, analytics testing, and data-driven transformation programs. You will mentor teams, drive governance, and oversee ETL/BI testing and reporting validation across cloud platforms such as Azure, AWS, or GCP.

The role demands hands-on expertise with AI/ML, GenAI, LLMs, RAG architectures, and data governance, plus strong stakeholder communication and leadership abilities.

Qualifications

• Experience in data quality engineering or analytics testing with data-driven transformation programs.
• Lead AI data assurance initiatives including GenAI/LLMs and RAG architectures.
• Strong knowledge of AI governance, data quality and responsible AI practices.

Responsibilities

• Lead AI data assurance, analytics testing and data quality programs.
• Mentor stakeholders, drive governance and best practices across teams.
• Oversee ETL testing, analytics/BI testing, and reporting validation.
• Collaborate on AI data readiness, data harness and outcomes assurance.
• Guide data pipelines, MLOps, and data platform integrations with cloud services.

Skills

AI Data Assurance

GenAI & LLMs

Data Governance

ETL Testing

SQL

Python

Test Automation

Tools

Databricks

Snowflake

Azure Data Factory

Informatica

Jira

Azure DevOps

PySpark

Playwright

Job description

Roles & 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