QA Architect

Purple Drive LLC; Memphis (TN); On-site; USD 90,000 - 130,000; Full time

Job summary

Purple Drive LLC in Memphis is seeking a highly skilled QA automation engineer to design scalable test automation frameworks using Selenium, Playwright, and API testing ecosystems. You will embed automated pipelines into enterprise CI/CD workflows and oversee unit through UAT testing phases.

You will champion AI-assisted testing practices, build collaborative AI agent networks with LangChain/LangGraph, and lead modernization of QA processes across global teams.

Qualifications

• Hands-on experience building and deploying Generative AI and Agentic AI workflows.
• Familiarity with LangChain and LangGraph plus cloud AI services.
• Experience with prompt engineering and retrieval-augmented generation (RAG).
• Advanced programming in Python and Java or C#.
• Expertise in web/mobile automation with Playwright and Selenium.
• Solid knowledge of Git, Docker/Containers, and CI/CD integration.
• Ability to build or integrate AI agents for QA workflows (Test Planning, Requirement Analysis, Test Script Generation, Test Execution & Self-Healing, Reporting & Analytics).

Responsibilities

• Design and maintain scalable, modular, and extensible test automation frameworks (Selenium, Playwright, API ecosystems).
• Oversee all testing phases including unit, integration, regression, performance, and UAT.
• Embed automated test pipelines into enterprise CI/CD workflows (Jenkins, GitHub Actions, GitLab).
• Drive continuous optimization to compress test cycle times through intelligent parallel agent dispatch.
• Define coding standards, test coverage metrics, risk-based testing frameworks, and governance policies.
• Coach and upskill global quality engineering teams on modern automation principles and AI-assisted testing tools.
• Architect and implement collaborative AI agent networks using LangChain, LangGraph, or Model Context Protocols tailored for QA workflows.

Skills

Generative AI workflows

Agentic AI workflows

LangChain

LangGraph

Cloud AI services

Azure OpenAI

AWS Bedrock

Prompt engineering

RAG

Python

Java

C#

Playwright

Selenium

Git

Docker

CI/CD pipelines

Tools

LangChain

LangGraph

Azure OpenAI

AWS Bedrock

Playwright

Selenium

Git

Docker

Jenkins

GitHub Actions

GitLab

CI/CD tooling

Job description

Must Have Technical/Functional Skills

• Hands-on experience building/deploying Generative AI and Agentic AI workflows.


• Familiarity with LLM orchestration frameworks (LangChain, LangGraph) and cloud AI services


• (Azure OpenAI, AWS Bedrock).


• Experience with prompt engineering and retrieval-augmented generation (RAG).


• Advanced programming proficiency in Python and Java or C#.


• Deep expertise in web/mobile automation tools like Playwright and Selenium.


• Solid understanding of Git, Docker/Containers, and CI/CD pipeline integrations.


• Capability to build or integrate dedicated AI agents for Test Planning & Requirement Analysis,


• Test Script Generation, Test Execution & Self-Healing, and Reporting & Analytics.

Roles & Responsibilities

• Design and maintain scalable, modular, and extensible test automation frameworks (Selenium,


• Playwright, API ecosystems).


• Oversee all testing phases including unit, integration, regression, performance, and UAT.


• Embed automated test pipelines into enterprise CI/CD workflows (Jenkins, GitHub Actions,


• GitLab).


• Drive continuous optimization to compress test cycle times through intelligent parallel agent


• dispatch.


• Define coding standards, test coverage metrics, risk-based testing frameworks, and governance


• policies.


• Coach and upskill global quality engineering teams on modern automation principles and


• AI-assisted testing tools.


• Architect and implement collaborative AI agent networks using frameworks such as LangChain,


• LangGraph, or Model Context Protocols tailored for QA workflows