Our client, a IT Services and Consulting company, is looking for a GenAI Automation QE Lead for their Charlotte, NC location.
Responsibilities:
GenAI solution in STLC
Build/Test Solution to create test automation code for UI/API through Automation tool/GenAI assisted coding
Build/Test solution for test data mining using Generative AI
Architecture & Design
Participate in design and implementation of Automation Framework, solutions, fine-tuning pipelines, and prompt engineering frameworks
Participate in cross-functional GenAI initiatives and PoC’s across entire software lifecycle
Strategy & Roadmap
Define Automation/GenAI adoption roadmap in alignment with client goals
Evaluate build-vs-buy decisions and advise on vendor/platform selections
Advocate for responsible AI practices and model governance frameworks
Requirements:
Collaboration & Leadership
Collaborate with data scientists, ML engineers, product managers, and key stakeholders
Mentor teams in GenAI best practices, including model optimization, deployment, and safety measures
3-16 years of experience in Quality Engineering, Test Architecture, and Automation, with proven leadership in enterprise-scale testing programs.
Top skills required for this role:
Strong proficiency in Python, Java, Selenium, Playwright, API Automation, and building scalable AI-driven testing frameworks.
Learning/Hands-on expertise in Generative AI, Agentic AI, Prompt Engineering, RAG, and AI-assisted test automation for test design, execution, and defect analysis.
Learning/Experience with LLM ecosystems and AI platforms such as Azure OpenAI, AWS Bedrock, LangChain, LangGraph, GitHub Copilot, and Anthropic Claude Code.