Quality Assurance Lead Gen AI

Position: Quality Assurance Lead - (Gen AI - Must Have)
We are looking for a Quality Engineering leader to build and govern enterprise-level testing strategies across multiple teams and projects. The role is responsible for leading the QA practice, defining test architecture and automation standards, and ensuring consistent quality across UI, API, data, and AI-driven systems. This position combines strategic ownership with architectural oversight, mentoring teams, influencing stakeholders, and driving scalable, future-ready quality solutions

Role:
Lead QA (Gen AI - Must Have)

Mandatory

Skills:

Gen AI, Python, Backend/API test automation

Experience:

10   
-15 Years

Location:

Bengaluru or Mumbai Preferred

Must-Have Skills
5–7 years of experience leading QA teams or test practices
5+ years of hands-on Selenium automation experience  with strong coding skills in  Java or Python
Proven expertise in  test strategy, quality governance, and test metrics
Experience designing and governing  automation frameworks and test architecture
Strong command over  UI, API, backend, and database testing
Solid understanding of  API contract validation, integration testing, and data integrity
Practical exposure to  AI / LLM testing , including prompt validation and response evaluation
Ability to mentor, coach, and grow  senior testers and automation engineers
Strong stakeholder communication and  release quality ownership

Good-to-Have Skills
Experience testing  AI agents, multi-turn workflows, and ML pipelines
Performance and scalability testing strategy ownership
Data pipeline validation and backend-heavy system testing
Experience driving  test transformation or QA modernization initiatives
Exposure to large-scale or enterprise systems (SaaS, fintech, data platforms)
Experience working in Healthcare domain

Tech Stack:
UI Automation:  Selenium, Playwright
Automation

Languages:

Java or Python , JavaScript, Type Script
API Testing:  Postman, REST Assured
API Technologies:  REST, Graph

QL, Web Sockets
AI / LLM Testing:  Lang Chain, Lang Graph, Agentic workflows
CI/CD:  Jenkins, Git Lab CI, Git Hub Actions
Data & Backend:  SQL, ETL pipelines (Airflow, Spark)
Performance Testing:  JMeter , k6
Cloud Platforms:  AWS or Azure

Key Responsibilities:

Define Test Strategy & Quality Governance:
Own and govern the end-to-end quality strategy across UI, API, backend, data, and AI-driven systems.
Test Data & Data Governance :

Lead test data strategy, validation, and governance across environments, pipelines, and AI workflows.
People Leadership & Capability Building :
Mentor QA leads and senior engineers, review test designs and automation code, and uplift overall testing maturity.
Stakeholder Influence & Release Decisions :
Act as the quality authority, providing risk assessments, metrics, and go/no-go recommendations to leadership.
Lead Automation & Test Architecture :

Architect and standardize Selenium- and Playwright-based automation frameworks using Java/Python, integrated with CI/CD pipelines.
Drive API, Backend & Data Quality :
Establish standards for API contract testing, integration testing, database validation, and data consistency across microservices.
AI / Agentic System Testing Strategy :
Lead testing approaches for LLM- and agent-based systems, including prompt behavior, hallucination detection, bias, and safety risks.