GenAI Automation QE Lead

TechDigital Group; Charlotte (NC); On-site; USD 140,000 - 210,000; Full time

Job summary

TechDigital Group is seeking a senior Quality Engineering leader to drive GenAI-enabled testing across the software lifecycle. You will build scalable automation frameworks, guide data-driven test design, and oversee governance for responsible AI practices in large-scale environments.

You will collaborate with data scientists, ML engineers, and product managers, mentoring teams in model optimization, deployment, and safety, while defining roadmaps aligned with client goals.

Qualifications

• 13–16 years of experience in Quality Engineering, Test Architecture, and Automation.

Responsibilities

• GenAI solution in STLC with automation code generation for UI/API tests and data mining.
• Design and implement automation framework and prompt engineering pipelines.
• Define Automation/GenAI adoption roadmap aligned with client goals and governance.
• Collaborate with data scientists, ML engineers, product managers, and stakeholders; mentor teams in GenAI best practices.

Skills

Python

Java

Selenium

Playwright

API Automation

AI-driven testing

Prompt engineering

Tools

Azure OpenAI

AWS Bedrock

LangChain

LangGraph

GitHub Copilot

Anthropic Claude Code

Job description

Job Description / Responsibilities / Years of experience

• 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
• 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
• 13-16 years of experience in Quality Engineering, Test Architecture, and Automation, with proven leadership in enterprise-scale testing programs.

What are the 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.