AI QA Lead: Senior Testing Architect – Hybrid in Toronto

AI QA Lead: Senior Testing Architect – Hybrid in Toronto

Toronto Full-Time 90000 - 110000 $ / year (est.) Hybrid
A

At a Glance

  • Tasks: Lead AI testing and develop innovative QA strategies for enterprise projects.
  • Company: Altis Technology, a forward-thinking tech company in Toronto.
  • Benefits: Hybrid work schedule, competitive salary, and opportunities for career advancement.
  • Other info: Collaborative environment with full lifecycle QA leadership.
  • Why this job: Join a dynamic team and shape the future of AI-powered applications.
  • Qualifications: 10+ years in testing with hands-on AI automation experience required.

The predicted salary is between 90000 - 110000 $ per year.

Altis Technology in Toronto is seeking a Senior QA Specialist to lead AI testing and QA strategy across enterprise projects.

You will develop AI-powered QA agents, perform diverse testing, and ensure security and reliability in AI-enabled applications.

The role requires 10+ years in testing, hands-on AI automation experience, and strong collaboration with cross-functional teams.

Hybrid schedule and full lifecycle QA leadership are provided.

#J-18808-Ljbffr

AI QA Lead: Senior Testing Architect – Hybrid in Toronto employer: Altis Technology

At Altis Technology, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As an SAP Deployment Lead, you will benefit from comprehensive professional development opportunities and a supportive environment that values teamwork and continuous improvement. Located in a dynamic industrial setting, our company offers unique advantages such as hands-on experience with cutting-edge technology and the chance to make a significant impact on supply chain operations.

A

Contact Details:

Altis Technology Recruitment Team

We think you need these skills to ace AI QA Lead: Senior Testing Architect – Hybrid in Toronto

AI Testing
QA Strategy Development
Hands-on AI Automation Experience
Collaboration with Cross-Functional Teams
Full Lifecycle QA Leadership
Diverse Testing Methodologies
Security Assurance in AI Applications