Test Engineer

12 to 16 years overall  7 years in QETest Architecture  2 years handson GenAILLM engineering

Role Summary
Lead the architecture and implementation of AIpowered agentdriven Quality Engineering solutions across the STLC Design and build reusable AI agents and multiagent workflows covering test design automation execution regression optimization defect intelligence and quality insights enabling scalable secure and governed AI adoption across enterprise QE

Key Responsibilities
Define the architecture and roadmap for GenAI and Agentic AIled Quality Engineering solutionsDesign and build AI agents and multiagent workflows across STLC phases from requirements analysis and test design through execution defect analysis and reportingDevelop reusable capabilities for test generation automation generation regression optimization test execution analysis defect intelligence and quality insightsArchitect RAG and grounding solutions leveraging requirements specifications test assets defects and execution dataDesign agent orchestration contextprompt engineering toolAPI integration and humanintheloop patternsIntegrate AI solutions with ALMTest Management automation frameworks CICD pipelines and engineering toolchainsEstablish AI evaluation mechanisms for accuracy relevance reliability and traceability of AIgenerated testing assetsImplement appropriate security governance observability and Responsible AI guardrailsLead PoCs and transition successful solutions into productionready reusable enterprise capabilitiesProvide technical leadership and guidance to QE automation and engineering teams

MustHave Skills
1216 years of overall experience in Quality Engineering Test Architecture Automation and related technologies7 years of experience in QETest Architecture Automation Architecture or engineering leadership2 years of handson experience in GenAILLM solution engineering including AI agents agentic workflows RAG and promptcontext engineeringDeep understanding of STLC Quality Engineering and Test ArchitectureHandson experience designing and developing AI agents agentic workflows and multiagent orchestrationStrong knowledge of RAG embeddingsvector search promptcontext engineering and toolfunction callingStrong Python API and integration development skillsExperience with UIAPI automation frameworks such as Playwright Selenium or equivalentExperience integrating solutions with ALMTest Management CICD DevOps and enterprise engineering ecosystemsUnderstanding of AI evaluation security governance traceability and hallucination mitigationDemonstrated ability to take AIQE solutions from architecture and PoC through productionscale implementation