Job Title: QA Lead – AI Voice Bot Q
Experience: 10+ Years
Location: Hyderabad, India
Employment Type: Full-time
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:
- 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.
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:
- 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:
- 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.
