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 solutions

Design and build AI agents and multiagent workflows across STLC phases from requirements analysis and test design through execution defect analysis and reporting

Develop reusable capabilities for test generation automation generation regression optimization test execution analysis defect intelligence and quality insights

Architect RAG and grounding solutions leveraging requirements specifications test assets defects and execution data

Design agent orchestration contextprompt engineering toolAPI integration and humanintheloop patterns

Integrate AI solutions with ALMTest Management automation frameworks CICD pipelines and engineering toolchains

Establish AI evaluation mechanisms for accuracy relevance reliability and traceability of AIgenerated testing assets





Implement appropriate security governance observability and Responsible AI guardrails

Lead PoCs and transition successful solutions into productionready reusable enterprise capabilities

Provide 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 technologies

7 years of experience in QETest Architecture Automation Architecture or engineering leadership

2 years of handson experience in GenAILLM solution engineering including AI agents agentic workflows RAG and promptcontext engineering

Deep understanding of STLC Quality Engineering and Test Architecture

Handson experience designing and developing AI agents agentic workflows and multiagent orchestration

Strong knowledge of RAG embeddingsvector search promptcontext engineering and toolfunction calling

Solid Python API and integration development skills

Experience with UIAPI automation frameworks such as Playwright Selenium or equivalent

Experience integrating solutions with ALMTest Management CICD DevOps and enterprise engineering ecosystems

Understanding of AI evaluation security governance traceability and hallucination mitigation

Demonstrated ability to take AIQE solutions from architecture and PoC through productionscale implementation

📌 Test Engineer (Hyderabad)
🏢 LTM
📍 Hyderabad