Job Opportunities API

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.