Lead QA Engineer AI Voice Bot Testing

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:

o Operations teams to understand business processes and customer interaction scenarios.

o Product teams to validate requirements and acceptance criteria.

o 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.