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AI Test Architect

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Onsite

AI Test Architect

Qeagle Assurance

AI Test Architect

Skills

Google Cloud PlatformTypescriptPythonJavaTesting & QAMicroservicesSeleniumPlaywrightAIAWSJavascriptAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

9 September 2026

What they need


Job Summary:

We are looking for an experienced AI Test Architect with 10+ years of overall IT experience and strong expertise in Test Automation, Quality Engineering, Selenium, Playwright, Generative AI, LLMs, and enterprise test architecture.

Key Responsibilities:

  • Design end-to-end AI-powered testing and quality engineering solutions aligned with enterprise business requirements.
  • Architect intelligent test automation solutions using Selenium, Playwright, LLMs, AI Agents, prompt engineering, and AI-assisted testing frameworks.
  • Evaluate and select testing frameworks, AI models, and automation technologies for enterprise quality engineering use cases.
  • Integrate automation solutions with APIs, CI/CD pipelines, enterprise applications, and cloud platforms.
  • Define test architecture standards covering security, scalability, performance, governance, and cost optimization.
  • Lead PoCs and enterprise implementation of AI-driven testing solutions.
  • Provide technical leadership and mentor QA Automation, SDET, and Quality Engineering teams.
  • Collaborate with business, development, DevOps, cloud, security, and technology stakeholders.

Must-Have Skills:

  • 10+ years of IT/software engineering experience.
  • Strong Test Automation, Quality Engineering & Generative AI experience.
  • Hands-on experience with Selenium, Playwright, LLMs, Prompt Engineering, AI Agents, and AI-assisted testing.
  • Strong Java, Python, or JavaScript/TypeScript experience.
  • Experience with Azure / AWS / GCP and enterprise test automation platforms.
  • Knowledge of OpenAI / Azure OpenAI, AWS Bedrock, Vertex AI, LangChain / LlamaIndex / Semantic Kernel.
  • Strong Test Architecture, API Automation, CI/CD, Microservices & Cloud Architecture skills.
  • Understanding of AI-assisted testing, LLMOps, AI Governance, Responsible AI & Security.
  • Strong stakeholder management and technical leadership skills

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