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QA Lead – AI Voice Bot Quality Assurance

NationsBenefits, LLC Hyderabad, Telangana, India

onsitefull-time
Posted Jul 30, 2026Apply by Aug 29, 2026

**Role & seniority: ** QA Lead / Testing Lead (10+ years experience); leads QA function for AI voice bot solutions; manages 2 QA Engineers.

**Stack/tools: **

  • Conversational AI platforms: Dialogflow, Amazon Lex, Microsoft Bot Framework (or similar)

  • Automation/testing: Selenium, Cypress, Playwright, plus custom AI-driven test bot/frameworks

  • Tech areas: API testing, integration testing, regression testing; NLP/speech-to-text/voice recognition testing; CI/CD + cloud exposure (tools not specified)

  • Top 3 responsibilities:

    1. 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).

    2. Lead AI-based automated testing for voice bots: validate intents, responses, conversational flows, error handling/escalations, and business workflow correctness.

    3. Team leadership & production support: mentor/review deliverables for 2 QA engineers; support releases, analyze production issues, and improve quality metrics/reporting.

  • Must-have skills:

    • QA methodologies, test strategy creation, defect management

    • Building detailed test cases from BDs/requirements

    • Testing AI voice bots/chatbots/IVR/conversational AI

    • Automation testing frameworks + AI-driven testing approaches

    • API/integration/regression testing hands-on

    • Agile/Scrum experience; strong analytica

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.

QA LeadershipAI Voice Bot TestingAutomation TestingConversational AITest PlanningAPI TestingRegression TestingFunctional ValidationDefect ManagementAgile/ScrumNLPStakeholder Managementmulti-location

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