AI-Driven Test Automation Lead & Architect

Randstad Digital Americas

Houston (TX)

On-site

USD 110,000 - 120,000

Full time

2 hours ago
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Job summary

Randstad Digital Americas in Houston seeks a Test Automation Lead/Architect to define and lead an enterprise-grade automation strategy across UI, API, data, and platform layers, aligning with product risk and release cadence.

You will architect scalable frameworks, drive engineering excellence, and accelerate delivery through high-productivity automation programs while guiding QE teams in AI/LLM quality assurance and governance.

Qualifications

  • 8-12+ years in Quality Engineering / Test Automation with architect-level ownership.
  • Experience designing scalable automation across API/UI/contract/integration/e2e.
  • Strong programming skills in Java, Python, TypeScript/JavaScript, or C#.

Responsibilities

  • Define and own the test automation architecture and multi-layer strategy (UI/API/contract/integration/e2e).
  • Establish automation standards, patterns, and reference implementations.
  • Drive shift-left testing and reduce reliance on fragile end-to-end tests.
  • Design testing approaches for AI outputs, including confidence thresholds and evaluation harnesses.
  • Lead QE technical authority: coach engineers on automation design and code quality.
  • Improve CI/CD pipelines and quality gates with automated dashboards.

Skills

Agentic AI
API testing
UI automation
Test automation
Programming skills
Leadership
Mentorship
Quality engineering
Risk-based testing

Education

Bachelor's degree

Tools

Playwright
Cypress
Selenium
REST-assured
Postman/Newman
pytest
GitHub Actions
Jenkins
Azure DevOps

Job description

Randstad Digital Americas in Houston seeks a Test Automation Lead/Architect to define and lead an enterprise-grade automation strategy across UI, API, data, and platform layers, aligning with product risk and release cadence.

You will architect scalable frameworks, drive engineering excellence, and accelerate delivery through high-productivity automation programs while guiding QE teams in AI/LLM quality assurance and governance.

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