AI Test Engineer / SDET - AI Enablement Platform

Cognizant; Karnataka; Hybrid; INR 1,200,000 - 2,200,000; Full time

Job summary

Cognizant is seeking an AI Test Engineer / SDET to validate AI-powered agents, GenAI artifacts and AI-driven testing solutions across UI, API, ETL, Data Validation, and Event-Driven applications.

The role combines Quality Engineering, Test Automation and AI Validation, requiring expertise in automation frameworks, AI agent testing, test orchestration, and CI/CD quality practices.

Qualifications

• Experience in AI testing and GenAI validation across UI/API/ETL domains.
• Ability to validate AI-generated artifacts and ensure quality of AI-powered workflows.

Responsibilities

• Validate AI-powered agents across SDLC workflows.
• Assess AI-generated requirements, test cases, automation scripts and code artifacts for quality.
• Perform AI Agent Validation, prompt testing, hallucination detection and output verification.
• Evaluate and improve AI workflows and AI-assisted engineering solutions.
• Support governance of AI tools and GenAI-enabled development practices.
• Develop and maintain automation across UI, API, ETL and data validation.

Skills

AI Testing

GenAI Testing

AI Agent Validation

LLM Output Validation

Prompt Testing

GitHub Copilot / Microsoft Copilot

AI-Assisted SDLC Validation

Automation

Agile Methodologies

QA Practices

Tools

Playwright

Selenium

Postman

REST Assured

Job description

We are seeking a highly skilled AI Test Engineer / SDET to drive quality assurance for our AI Enablement Platform. The ideal candidate will be responsible for validating AI-powered agents, GenAI-generated artifacts, and AI-driven testing solutions across UI, API, ETL, Data Validation, and Event-Driven applications.

This role combines Quality Engineering, Test Automation, and AI Validation, requiring expertise in automation frameworks, AI agent testing, test orchestration, and CI/CD quality practices.

Key Responsibilities

AI & GenAI Testing (Primary Focus)

• Validate and test AI-powered agents across SDLC workflows.
• Assess the quality, accuracy, consistency, and reliability of AI-generated requirements, test cases, automation scripts, and code artifacts.
• Perform AI Agent Validation, prompt testing, hallucination detection, response quality assessment, and output verification.
• Evaluate and improve the effectiveness of Agentic AI workflows and AI-assisted engineering solutions.
• Support adoption and governance of GitHub Copilot, Microsoft Copilot, and GenAI-enabled development practices.

Quality Engineering & Automation

• Develop and maintain scalable automation frameworks for UI, API, ETL, Data Validation, and Kafka applications.
• Execute Functional, Integration, Regression, and End-to-End testing.
• Implement automated validation within CI/CD pipelines.
• Perform defect analysis, root cause analysis, and quality reporting.
• Ensure compliance, traceability, governance, and quality standards across AI-enabled solutions.

Mandatory Skills

AI / GenAI Skills (High Priority)

• AI Testing / GenAI Testing
• AI Agent Validation
• LLM Output Validation
• Prompt Testing & Response Validation
• GitHub Copilot / Microsoft Copilot
• AI-Assisted SDLC Validation

Automation & QA Skills

• Playwright or Selenium
• API Testing (Postman / REST Assured)
• Python or Java
• SQL
• Automation Framework Development
• Functional, Regression & End-to-End Testing
• CI/CD Quality Assurance
• Agile Methodologies

Good to Have

• Agentic AI Frameworks
• Retrieval-Augmented Generation (RAG) Testing
• LLM Evaluation Frameworks
• Kafka/Event-Driven Testing
• ETL/Data Validation Testing
• Azure OpenAI Services
• AI Governance & Responsible AI Testing