Role

Lead the Quality Assurance and Testing organization within the AI/Data Center of Excellence (CoE), ensuring delivery of reliable, high-performing, and compliant AI and data-driven systems across the enterprise.

Location

Noida, India

Key Responsibilities

Quality &

- Testing Leadership: Establish and lead comprehensive QA strategy across traditional software, data, and AI-driven systems in alignment with enterprise digital transformation goals.AI Evaluations: Define frameworks and metrics for AI/ML testing—covering model accuracy, robustness, fairness, explainability, and bias detection. Develop automated evaluation pipelines for LLMs and AI applications.Test Automation &
- Innovation: Drive automation-first strategy using AI-powered testing tools to improve speed, accuracy, and coverage across regression, performance, and integration testing.MLOps &
- Data Quality: Collaborate with MLOps and data engineering teams to ensure model validation, monitoring, and continuous testing of data pipelines and ML workflows.Governance &
- Compliance: Establish quality governance processes for AI and data systems adhering to internal standards, industry best practices, and regulatory requirements for P&C; insurance operations.Cross-Functional Collaboration: Partner with AI architects, data scientists, software engineers, underwriters, and claims teams to integrate testing early in development and ensure reliable deployment.AI-in-QA Enablement: Evaluate and deploy AI-based testing solutions, including intelligent defect prediction, test case generation, and anomaly detection in production systems.Team Development: Build and mentor a high-performing QA/testing organization specializing in AI applications, automation, and performance testing.Performance &
- Reliability: Ensure AI systems and digital applications meet SLAs for scalability, reliability, interpretability,



and compliance.Stakeholder Management: Collaborate with business, technology, and innovation leaders to drive quality culture, risk mitigation, and continuous improvement.

Required Qualifications

Education: Bachelor’s/Master’s degree in Computer Science, Information Technology, or related technical discipline.Experience: 12 years of QA/Testing experience with 5 years in teams accountability too; proven track record in managing enterprise-scale QA functions, including testing of AI/ML systems.Technical Skills: Expertise in test automation frameworks, performance testing, CI/CD integration, and quality engineering of AI models and APIs.AI Testing Expertise: Experience designing AI evaluation strategies for LLMs, NLP systems, computer vision, or predictive models, including use of benchmarks and bias/fairness tools.Tools &

- Platforms: Proficiency with tools like Selenium, PyTest, Robot Framework, Postman, JMeter, TensorBoard, and AI Eval frameworks (e.g., PromptBench, DeepEval, LangSmith).Insurance Domain: Understanding of Property &
- Casualty (P&C;) insurance workflows including underwriting, claims, and policy management is preferred.Governance &
- Compliance: Familiarity with ISO, SOC2, and model validation standards for AI assurance.Communication: Solid ability to communicate technical quality concepts to executive and non-technical stakeholders

Preferred Qualifications:Insurance &

- AI: Experience testing AI applications in P&C; insurance domain, including underwriting automation, claims triage, and telematics.AI in QA: Proven experience integrating AI tools for intelligent automation, defect analysis, and test optimization.Leadership: Strong team-building, mentorship, and stakeholder engagement experience in global organizations.Innovation Focus: Background in developing next-generation QA frameworks for digital transformation and AI assurance

📌 Director – QA & Testing (P&C Insurtech) (Mumbai)
🏢 Crystal Peak
📍 Mumbai