QA Lead – AI Voice Bot Quality Assurance
NationsBenefits, LLC • Hyderabad, Telangana, India
**Role & seniority: ** QA Lead / Testing Lead (10+ years experience); leads QA function for AI voice bot solutions; manages 2 QA Engineers.
**Stack/tools: **
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Conversational AI platforms: Dialogflow, Amazon Lex, Microsoft Bot Framework (or similar)
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Automation/testing: Selenium, Cypress, Playwright, plus custom AI-driven test bot/frameworks
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Tech areas: API testing, integration testing, regression testing; NLP/speech-to-text/voice recognition testing; CI/CD + cloud exposure (tools not specified)
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Top 3 responsibilities:
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Create test cases/scenarios/plans from Business Documents (BDs) and functional requirements; execute end-to-end QA strategy (functional, regression, integration, UAT, conversational AI testing).
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Lead AI-based automated testing for voice bots: validate intents, responses, conversational flows, error handling/escalations, and business workflow correctness.
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Team leadership & production support: mentor/review deliverables for 2 QA engineers; support releases, analyze production issues, and improve quality metrics/reporting.
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Must-have skills:
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QA methodologies, test strategy creation, defect management
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Building detailed test cases from BDs/requirements
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Testing AI voice bots/chatbots/IVR/conversational AI
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Automation testing frameworks + AI-driven testing approaches
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API/integration/regression testing hands-on
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Agile/Scrum experience; strong analytica
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Full Description
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.