Senior AI Testing Solutions Architect

13 hours ago


Waterloo, Ontario, Canada Huawei Full time
About the Role

We are seeking a highly skilled Senior AI Testing Solutions Architect to join our team at Huawei.

Job Summary:

  • Design and implement cutting-edge intelligent testing solutions that drive business growth and innovation.
  • Leverage expertise in AI, machine learning, and software engineering to develop and deploy robust testing strategies.
Responsibilities

The successful candidate will be responsible for:

  • Developing and maintaining a deep understanding of industry trends and technologies in intelligent testing.
  • Leading research and development efforts to advance key algorithms and technologies for intelligent testing.
  • Collaborating with cross-functional teams to design and implement AI-driven quality engineering solutions.
  • Staying up-to-date with industry developments and applying knowledge to enhance testing capabilities.
Requirements

To be successful in this role, you will need:

  • A PhD in AI, Computer Science, Software Engineering, or a related field.
  • At least 5 years of experience in leading enterprise work or research in academia, with a strong background in AI technology and testing.
  • Excellent technical vision, industry influence, and understanding of current trends and challenges in academia and industry.
  • Strong connections with academic and industrial conferences, forums, and other channels.
  • Proven ability to think independently and collaborate effectively as part of a team.
  • Experience in leading the practice of intelligent testing for large-scale software systems/cloud-based products or published influential papers related to intelligent testing in academia.
What You'll Bring to the Team

As a Senior AI Testing Solutions Architect, you will contribute to the development of innovative testing solutions, drive business growth, and enhance the company's reputation as a leader in AI-driven quality engineering.

Salary: $120,000 - $180,000 per year, depending on location and experience.



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