Test Architect

AI Test Architect
Quality Engineering | AI Led Automation | Enterprise Programs
Key Responsibilities and Requirements
Architect and drive AI led quality engineering solutions across enterprise programs, defining test strategy, tooling and automation roadmaps.
Hands on expertise across multiple automation frameworks and tools such as Selenium, Playwright, Cypress, Appium, RestAssured, Postman, Tosca and UFT, and languages including Java, Python, JavaScript, TypeScript and C sharp.
Build and deploy AI agents and agentic workflows for test design, self healing automation, failure triage and autonomous regression execution.
Practical experience with AI driven and AI assisted testing, covering GenAI test case generation, coding assistants such as Copilot, Claude Code and Cursor, and RAG based test knowledge systems.
Working knowledge of frontier and open source LLMs including GPT, Claude, Gemini, Llama, Mistral and Qwen, with prompt engineering, model selection, fine tuning and evaluation.
Design and implement enterprise test data management solutions covering synthetic data generation, masking, subsetting and provisioning at scale.
Validate data quality and integrity across ETL, data warehouse and analytics pipelines, including reconciliation and rule based data validation.
Own end to end automation across API, web, mobile and desktop applications in large and complex enterprise landscapes.
Solve complex automation challenges spanning legacy systems, mainframe, ERP and cross platform integrations.
Engage directly with clients and CXO stakeholders to present solutions and defend estimation models, approach and ROI during pursuits.
Contribute to proposals, RFP and RFI responses, solution defence and technical proof of concepts.
Mentor QE teams and establish best practices, reusable accelerators and governance for AI adoption in testing.

Work arrangement
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