QA Lead – AI Voice Bot Quality Assurance

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:
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.