Testing Lead (AI Voice Bot QA)

NB Healthcare Technologies

Hyderabad

On-site

INR 1,800,000 - 2,400,000

Full time

14 days+

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Job summary

NB Healthcare Technologies in Hyderabad, India, seeks a Testing Lead for AI-powered voice bot QA to drive quality across platforms. The role focuses on functional validation, automation, and AI-driven testing methodologies.

You will build AI-based test bots, automate testing of voice bot flows, and validate business functionality, integrations, and customer experience. You will lead a small team and collaborate with Operations and Product to ensure release readiness.

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 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.

Responsibilities

  • Analyze BD and requirements to create test cases, scenarios, and plans.
  • Define and execute end-to-end QA strategies for AI voice bot platforms.
  • Validate voice bot intents, responses, escalation flows, APIs, and backend integrations.
  • Lead and mentor a team of 2 QA Engineers and review test deliverables.
  • Build AI-driven testing bots for automated validation of voice bot functionality.
  • Design automated frameworks to test conversational flows, intent recognition, and error handling.
  • Monitor production quality, support releases, and coordinate with teams for resolution.

Skills

QA methodologies
Automation testing
AI-based testing
API testing
Agile/Scrum
Team leadership
Stakeholder management

Tools

Selenium
Cypress
Playwright
AI automation frameworks
Dialogflow
Amazon Lex

Job description

Position Title: Testing Lead AI Voice Bot QA
Role Summary

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.

Ensure complete testing coverage for:

  • o Functional testing
  • o Regression testing
  • o Integration testing
  • o User acceptance testing
  • o Conversational AI testing
  • o 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.

Team Leadership
  • 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.
AI Automation & Voice Bot Testing
  • Design and develop AI-driven testing bots for automated validation of voice bot functionality.

Build automated frameworks to test:

  • o Conversational flows
  • o Intent recognition
  • o Response accuracy
  • o Business logic validation
  • o 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
  • Reporting To: QA Manager / Engineering Manager
  • Team Size: 2 QA Engineers
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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