Role Overview

We are looking for a QA Lead who can architect the overall quality strategy for JazzX AI s platforms and AI-powered products. This role requires a blend of traditional QA expertise, AI/ML awareness, and strong leadership capabilities. You will lead the quality roadmap for agent workflows, LLM outputs, APIs, and cloud services while managing a high-performing QA team.

Key Responsibilities

- Quality Strategy &
- Leadership: Build and own JazzX AI s end-to-end QA strategy across AI copilots, workflows, and enterprise deployments.

- Lead, mentor, and scale a team of QA engineers and automation specialists.

- Partner closely with Product, ML Engineering, and Platform Engineering to embed quality in early design phases.

- Define and enforce quality gates and release-readiness standards.

- AI/LLM-Specific Quality Assurance: Develop evaluation systems for LLM accuracy, hallucination detection, factuality, safety, and bias mitigation.

- Design scalable tests for agent reasoning, tool-use correctness, and multi-step workflow validation.

- Create synthetic datasets and scenario-based tests for edge-case prediction and regression testing.

- Validate model performance across fine-tuning, RAG, knowledge-grounding, and inference scenarios.

- Automation Engineering: Architect and manage automation frameworks using Python/Java/JS, Playwright, Selenium, PyTest, Postman, etc.

- Ensure seamless integration of automated suites into CI/CD pipelines (GitHub Actions/GitLab/Jenkins).

- Automated API, microservices, and backend testing for JazzX AI s cloud architecture running on AWS/GCP.

- Performance Testing: Load Testing, Stress Testing, Spike Testing, Endurance/Soak Testing using industry-standard tools like JMeter, LoadRunner, Gatling, k6, or Locust.

- Release,



Monitoring &

- Reliability: Own the release sign-off process for all AI software components and platform features.

- Release, Monitoring &

- Reliability: Conduct RCA, maintain issues of dashboards, and drive continuous improvement in QA lifecycle.

- Release, Monitoring &

- Reliability: Collaborate with DevOps/ML Ops to monitor model drift, performance anomalies, and post-production behaviors.

- Documentation &

- Communication: Prepare detailed QA documents: strategies, test plans, evaluation reports, and execution metrics.

- Documentation &

- Communication: Provide transparent communication of risks, quality insights, and impact analysis to leadership.

Required Qualifications

- 12+ years of experience in Software QA.

- Strong hands-on experience with test automation frameworks and scripting (Python/Java/JavaScript).

- Experienced in working with microservice-based architecture

- Working knowledge of AI/ML systems, including datasets, model evaluation, vector stores, RAG, and LLM operations.

- Architect and manage automation frameworks using Python/Java/JS, Playwright, Selenium, PyTest, Postman, etc.

- Automated API, microservices, and backend testing for JazzX AI s cloud architecture running on Azure /AWS.

- Experience testing distributed cloud systems, APIs, and high-performance backend services.

- Strong analytical and problem-solving skills with the ability to drive organization-wide quality initiatives.

Preferred Skills

- Experience testing LLMs, RAG pipelines, or autonomous AI agents.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Staff QA (Bengaluru)
🏢 JazzX AI
📍 Bengaluru