Lead QA Engineer – AI Voice Bot Testing

NationsBenefits India

Hyderabad

On-site

INR 2,500,000 - 5,000,000

Full time

14 days+

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Job summary

NationsBenefits India seeks an experienced Testing Lead to drive QA for AI-powered voice bot solutions in Hyderabad. The role focuses on functional validation, automation, and AI-driven testing, and leads a small team of two QA Engineers.

You will develop test plans from business documents, collaborate with Operations and Product teams, and build AI-based test bots to validate conversational flows, customer experience, and backend integrations. Prior experience in Agile is assumed.

Qualifications

  • 10+ years of experience in Software Development, Application Support, and Testing.
  • Experience testing AI Voice Bots, Chatbots, IVR or Conversational AI platforms.
  • Hands-on API testing, integration testing, and regression testing.
  • Experience leading QA teams and delivering testing artifacts.
  • Strong analytical and stakeholder management skills.
  • Experience working in Agile/Scrum environments.

Responsibilities

  • Create detailed test cases from Business Documents and requirements.
  • Define end-to-end QA strategies for AI voice bot platforms.
  • Build AI-driven testing bots for automated validation.
  • Develop automated frameworks for conversational flows and intents.
  • Lead and mentor a team of 2 QA Engineers.
  • Support production deployments and monitor quality metrics.
  • Collaborate with Operations and Product teams.

Skills

QA methodologies
Automation testing
AI-based testing
API testing
Agile/Scrum
Stakeholder management
Leadership
Test planning
Selenium/Cypress/Playwright

Tools

Selenium
Cypress
Playwright
API testing tools

Job description

We are seeking an experienced and detail-oriented Testing Lead to lead quality assurance initiatives for AI-powered voice bot solutions. The ideal candidate will have 10+ years of experience in software development, application support, and testing, with strong expertise in functional validation, automation, and AI-driven testing methodologies.

The Testing Lead will be responsible for generating detailed test cases based on Business Documents (BDs), collaborating closely with Operations and Product teams, and leading a team of 2 QA Engineers. This role will also focus on building AI-based test bots to automate testing of voice bots and validate business functionality, conversational flows, and customer experience.

Key Responsibilities
Test Planning & Quality Assurance
  • Analyze Business Documents (BDs), functional requirements, and business workflows to create detailed test cases, test scenarios, and test plans.
  • Define and execute end-to-end QA strategies for AI voice bot platforms.
  • Functional testing
  • Regression testing
  • Integration testing
  • User acceptance testing
  • Conversational AI testing
  • Business workflow validation
  • Validate voice bot intents, responses, escalation flows, APIs, and backend integrations.
Collaboration & Stakeholder Management

Work closely with:

  • Operations teams to understand business processes and customer interaction scenarios.
  • Product teams to validate requirements and acceptance criteria.
  • Development teams to track and resolve defects.
  • Participate in requirement gathering sessions, sprint planning, release reviews, and production support discussions.
  • Lead and mentor a team of 2 QA Engineers.
  • Assign testing activities, review test deliverables, and ensure adherence to QA standards.
  • Drive continuous improvement in testing processes, automation, and reporting practices.
  • Design and develop AI-driven testing bots for automated validation of voice bot functionality.
  • Build automated frameworks to test:
    • Conversational flows
    • Intent recognition
    • Response accuracy
    • Business logic validation
    • Error handling and escalation scenarios
  • Improve automation coverage and reduce manual testing effort through innovative QA solutions.
Production Support & Quality Monitoring
  • Support production deployments and post-release validations.
  • Analyze production issues and coordinate with support and development teams for resolution.
  • Monitor quality metrics, defect trends, and release readiness.
Required Qualifications
  • 10+ years of experience in Software Development, Application Support, and Testing.
  • Strong expertise in QA methodologies, test strategy creation, and defect management.
  • Experience creating test cases from Business Documents (BDs) and functional requirements.
  • Experience testing AI Voice Bots, Chatbots, IVR systems, or Conversational AI platforms.
  • Strong experience with automation testing frameworks and AI-based testing approaches.
  • Hands‑on experience with API testing, integration testing, and regression testing.
  • Experience leading QA teams and managing testing deliverables.
  • Strong analytical, communication, and stakeholder management skills.
  • Experience working in Agile/Scrum environments.
Preferred Skills
  • Experience with Conversational AI platforms such as Dialogflow, Amazon Lex, Microsoft Bot Framework, or similar.
  • Knowledge of NLP, speech-to-text, and voice recognition testing.
  • Experience with automation tools such as Selenium, Cypress, Playwright, or custom AI automation frameworks.
  • Exposure to cloud platforms and CI/CD pipelines.
Team Structure
Success Metrics
  • High-quality production releases with minimal defects.
  • Increased automation coverage for voice bot testing.
  • Faster test execution cycles through AI-based automation.
  • Strong collaboration with Product and Operations teams.
  • Improved voice bot accuracy and customer experience.
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