QA Lead AI Voice Bot Quality Assurance (Secunderabad)

QA Lead AI Voice Bot Quality Assurance (Secunderabad)

04 Aug
|
NationsBenefits
|
Secunderabad

04 Aug

NationsBenefits

Secunderabad

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 Lead AI Voice Bot Quality Assurance (Secunderabad)
🏢 NationsBenefits
📍 Secunderabad

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