AI QA Architect

4 days ago

Bengaluru, Karnataka, India Streamline Healthcare Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Experience Level: 15+ years in QA, with 3+ years in AI/GenAI solutioning

Role Overview

This role requires a blend of technical depth, AI solution development skills, and architectural vision to drive innovation in Quality Assurance and accelerate intelligent test automation.

  • We are seeking an AI QA Architect with a strong background in Quality Engineering and hands-on expertise in applying Artificial Intelligence (AI) and Generative AI (GenAI) across testing workflows.
  • The ideal candidate will architect, design, and implement AI-driven QA frameworks, build agent-based GenAI applications, and integrate intelligent automation solutions into enterprise QA ecosystems.

Key Responsibilities

  • AI-Driven QA Strategy & Architecture
  • Design and implement AI-powered QA frameworks integrating capabilities such as self-healing automation, intelligent defect prediction, test case generation, and root cause analysis.
  • Define and execute the AI enablement roadmap for QA practices, leveraging LLMs, ML models, and automation accelerators.
  • GenAI Application Development
  • Develop Agent-based GenAI applications using frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
  • Enable multi-agent collaboration for test generation, failure triage, and defect clustering.
  • AI Application Integration & Automation
  • Build and integrate GenAI applications with GitHub Copilot, CI/CD pipelines, and test automation frameworks.
  • Implement AI-based copilots to assist test engineers with code suggestions, scenario design, and defect classification.
  • Host and deploy AI applications on cloud (Azure/AWS/GCP) or on-premises intranet environments, ensuring security and compliance.
  • Hands-On Development & Implementation
  • Develop AI/ML components using Python, JavaScript, or Java, integrating APIs from OpenAI, Gemini, Claude, or Azure OpenAI Service.
  • Create and fine-tune LLM prompts and workflows for test artifact generation, requirement understanding, and automation script synthesis.

Required Skills & Experience

  • Core QA Expertise:

  • 10+ years of QA experience, with strong knowledge of automation frameworks, performance testing, and CI/CD integration.

  • Proven experience architecting or scaling test automation frameworks (Selenium, Playwright, Cypress, etc.).
  • AI & GenAI Skills:
  • Hands-on experience in AI-based QA solutions self-healing, test generation, or intelligent analytics.
  • Experience developing Agent-based GenAI apps using LangChain, LlamaIndex, AutoGen, or CrewAI.
  • Strong understanding of prompt engineering, RAG workflows, and LLM model tuning.
  • Experience integrating with GitHub Copilot or other AI developer assistants.
  • Programming & Tools:
  • Proficiency in Python (preferred), Java, or JavaScript for AI and automation development.
  • Familiarity with OpenAI, Hugging Face, Gemini, or Anthropic APIs.
  • Knowledge of Azure, AWS, or GCP for AI service deployment and monitoring.
  • Experience using Docker, Kubernetes, and REST APIs for app deployment.

Preferred Qualifications

  • Experience implementing AI-driven QA accelerators or GenAI copilots within enterprise testing environments.
  • Knowledge of security, compliance, and governance for AI-enabled testing workflows.
  • Contributions to open-source AI or QA projects will be an added advantage.
  • Certifications in AI/ML, Cloud (Azure/AWS), or Advanced Test Automation preferred.

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