AI QA Automation Lead

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AI QA Automation Lead Application Form

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By submitting this application, you acknowledge and consent to the use of artificial intelligence (AI) technologies in the recruitment process, including but not limited to resume screening, candidate assessment, and interview facilitation. Your application data may be processed by AI systems to evaluate your qualifications. You have the right to request human review of any AI-assisted decisions.

Job Description

Role: AI QA Automation Lead

Function: Quality Assurance

Location: Bangalore/ Mumbai

Type: Full-time

Compensation: Competitive compensation package with equity participation

Industry: Artificial Intelligence, SAAS, Fintech

About Company

A groundbreaking AI initiative under India's largest private sector company. The company builds AI solutions for every Indian, harnessing green energy to power gigawatt-scale infrastructure.

Partnerships with tech giants like Meta and Google drive innovation at unprecedented scale. You'll work in a fast-paced, innovation-driven environment where engineering excellence meets real impact.

Position Overview

You'll lead the quality strategy and automation frameworks for cutting-edge AI systems serving millions of users across India. You'll own and implement automation-first frameworks that ensure reliability and performance of AI platforms. This role puts you at the forefront of testing agentic workflows, LLM-based applications, and conversational AI systems at gigawatt scale.

Role & Responsibilities

  • You define and execute comprehensive quality strategy for LLM-based applications and AI systems
  • You design and implement automation-first testing frameworks using AI-specific testing tools
  • You lead QA automation initiatives for agentic workflows and conversational AI systems
  • You build and maintain CI/CD pipelines with AI model validation and automated testing systems
  • You mentor and guide QA engineering teams on AI testing frameworks and methodologies
  • You collaborate with ML engineers to test model performance, accuracy, and reliability metrics
  • You establish quality metrics and monitoring systems for production AI applications

Must Have Criteria

  • 10-20 years of experience in QA automation for large-scale distributed platforms
  • Hands-on experience with AI testing frameworks, Python automation using PyTest, and JavaScript/typescript automation using Playwright
  • Expert-level proficiency in Python test automation with PyTest framework for AI systems
  • Strong experience with JavaScript automation using Playwright for web-based AI applications
  • Proven leadership experience managing QA automation teams of 5+ engineers
  • Deep understanding of AI model testing, validation metrics, and performance benchmarking
  • Experience implementing CI/CD pipelines with automated AI model evaluation and validation

Nice to Have

  • Experience with LLM evaluation frameworks and custom AI testing metrics
  • Background in testing machine learning pipelines and model deployment systems
  • Experience with A/B testing frameworks for AI model performance comparison
  • Knowledge of performance testing for AI inference systems and model serving
  • Open source contributions to AI testing frameworks or ML evaluation tools

What We Offer

  • Opportunity to shape AI testing practices at unprecedented scale
  • Work with cutting-edge AI technologies and global tech partnerships
  • Competitive compensation package with equity participation
  • Access to world-class infrastructure and green energy powered systems
  • Career growth in India's most ambitious AI initiative

Apply Now

Share your details below to apply for this job.

Enter a number between 0 and 1000
Enter a number between 0 and 1000
Enter a number between 0 and 120
Are you open to relocate?
Are you currently on Notice Period?

Accepted formats: .doc, .docx, .pdf, .png, .jpeg, .jpg

Maximum file size: 20MB

By submitting this application, you acknowledge and consent to the use of artificial intelligence (AI) technologies in the recruitment process, including but not limited to resume screening, candidate assessment, and interview facilitation. Your application data may be processed by AI systems to evaluate your qualifications. You have the right to request human review of any AI-assisted decisions.