WS AUDIOLOGY CAREERS

AI Test Architect

Enterprise AI Test Architecture & Automation

10+ Years Experience • AI Testing • Computer Vision • HIL

LLM Testing Computer Vision HIL Testing

Job Information

🏢 Company
WS Audiology
💼 Experience
10+ Years
🎯 Role
AI Test Architect
🤖 Domain
AI Quality Engineering

Core Skills

Python LLM Testing RAG LangChain LlamaIndex Ollama Computer Vision OpenCV OCR PyTorch TensorFlow Docker CI/CD Azure DevOps Hardware-in-the-Loop

Key Responsibilities

  • Define enterprise AI Test Architecture and Quality Engineering strategy.
  • Build AI-powered automation frameworks using LLMs and RAG.
  • Develop Computer Vision and OCR-based UI validation solutions.
  • Design Hardware-in-the-Loop (HIL) testing frameworks for connected devices.
  • Implement AI-driven self-healing automation and anomaly detection.
  • Lead architecture reviews, technical standards, and engineering best practices.
  • Mentor QA, DevOps, and AI engineering teams.

Required Skills

  • 10+ years in Quality Engineering with 5+ years in Test Architecture.
  • Expert-level Python programming.
  • Experience with PyTorch, TensorFlow, and Hugging Face.
  • Hands-on knowledge of RAG, LangChain, LlamaIndex, and Ollama.
  • Computer Vision using OpenCV and OCR technologies.
  • Experience with Appium, Espresso, XCUITest, and mobile automation.
  • Docker, CI/CD, Azure DevOps, and AI deployment pipelines.

Technology Stack

  • Python
  • LangChain & LlamaIndex
  • PyTorch & TensorFlow
  • OpenCV & Tesseract OCR
  • Ollama & llama.cpp
  • Docker
  • Azure DevOps
  • Appium
  • Espresso
  • XCUITest
  • Hardware-in-the-Loop (HIL)
  • Prometheus & Grafana

Why This Role Matters

As AI-powered products increasingly combine software, mobile applications, and connected hardware, organizations require intelligent testing strategies beyond traditional automation. This role leads the transformation of enterprise quality engineering through LLM-driven automation, Computer Vision, AI-powered test generation, Hardware-in-the-Loop validation, and scalable AI testing frameworks while ensuring privacy, compliance, and production reliability.


Disclaimer: This job information is shared for informational purposes only. Applications are processed through the employer's official recruitment platform.