Data Testing Cloud Consultant

Infosys Limited; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Infosys Limited invites application for Data Testing Cloud Consultant to lead AI Data Assurance programs, drive governance, and define testing frameworks across AI/ML, GenAI, data platforms, and BI systems.

The role requires extensive experience in data quality, analytics testing, and leadership, with hands-on skills in cloud data platforms and data pipelines. Location-based assignments will be required.

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
• 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

Responsibilities

• Project & Delivery Leadership across AI Data Assurance programs.
• Lead end-to-end delivery of AI Data Assurance initiatives including governance and quality metrics.
• Define quality strategies and testing frameworks for AI data, analytics, and BI platforms.
• Govern data validation, release readiness, and quality gates for AI/ML pipelines.
• Lead testing and validation of data platforms, analytics solutions and AI-ready datasets.
• Build automation for AI Data Assurance, BI assurance, and continuous quality monitoring.
• Embed quality controls within DataOps, MLOps, and CI/CD pipelines.
• Mentor AI Data Assurance teams and drive capability development and improvements.
• Collaborate with business, product, data engineering, and platform teams on AI transformation initiatives.

Skills

AI Data Assurance

GenAI & LLMs

Data Quality Engineering

DataOps / MLOps

Cloud Platforms (Azure/AWS/GCP)

AI Governance

Python / PySpark

SQL / Data Warehousing

Vector Databases

Education

Bachelor of Engineering

Tools

SQL

Snowflake

Databricks

Informatica

Azure Data Factory (ADF)

Jira

Azure DevOps

CI/CD

Job description

BANGALORE, Infosys Limited Data Testing Cloud Consultant

Job ID/Reference Code INFSYS-INDEED1-254239

Work Experience 5 - 10 Years

Job Title Data Testing Cloud Consultant

Educational Requirements Bachelor of Engineering

Service Line Infosys Quality Engineering

Responsibilities

• Project & Delivery Leadership
• Lead end-to-end delivery of AI Data Assurance programs.
• Drive delivery governance, quality metrics, executive reporting, and Agile/Hybrid delivery excellence.Quality Engineering, AI Assurance & Governance
• Define quality strategies, testing frameworks, and assurance processes for AI/ML, GenAI, AI data assurance, analytics, and BI platforms.
• Govern end-to-end validation, release readiness, and quality gates.
• Lead testing and validation of data platforms, pipelines, analytics solutions, BI platforms and AI-ready datasets.
• Implement AI Data Harness Assurance across data pipelines, RAG systems, vector stores, and AI workflows.
• Drive AI Data Outcome Assurance by evaluating AI output quality, reliability, explainability, and business alignment.
• Support Responsible AI, AI Governance, and Model Assurance initiatives.
• Build automation frameworks for AI Data Assurance, BI assurance and continuous quality monitoring.
• Embed quality controls and assurance gates within DataOps, MLOps, and CI/CD pipelines.
• Lead and mentor AI Data Assurance teams and drive capability development, quality reviews, and continuous improvement.
• Collaborate with business, product, data engineering, architecture, AI/ML, and platform teams to deliver AI transformation initiatives.
• Drive automation, AI assisted testing, capability development, and continuous improvement initiatives.
• Build AI data assurance accelerators and participate in client demos
• Contribute to client pursuits, solutioning, proposals, estimations, and AI assurance offerings.
• Build partnerships, thought leadership assets, innovation frameworks, webinars, workshops, and knowledge-sharing initiatives.

Additional Responsibilities:

• 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

Technical and Professional Requirements:

• Required Skills & Experience
• 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

Location will be based on business requirement.

Preferred Skills: Technology->Data Services Testing->Big Data Testing Technology->AI-Generative AI->Generative AI - Basic