Enterprise AI Deployment Engineer in Toronto

Enterprise AI Deployment Engineer in Toronto

Toronto Full-Time 123750 - 151250 $ / year (est.) Remote
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At a Glance

  • Tasks: Architect and deploy OpenAI-powered data platforms while driving enterprise value.
  • Company: Join OpsGuru, a forward-thinking tech company focused on AI solutions.
  • Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
  • Other info: Remote-first role with occasional travel for hands-on client engagement.
  • Why this job: Make a real impact by modernizing data and designing AI workflows for clients.
  • Qualifications: Experience in data platforms, AI integration, and strong technical leadership skills.

The predicted salary is between 123750 - 151250 $ per year.

Ops Guru, a Carbon60 Company, seeks an experienced Forward Deployed Engineer to embed within customer environments and architect Open AI-powered data platforms.

You will own end-to-end delivery—from data discovery to API integration and model tuning—driving enterprise value at client sites.

The role emphasizes data modernization, AI workflow design, and governance with a strong focus on customer outcomes and technical leadership.

Remote-first with periodic travel.

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Enterprise AI Deployment Engineer in Toronto employer: Urban Ridge Supplies

Tata Consultancy Services (TCS) is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for Senior Solutions Engineers to thrive. With a strong emphasis on employee growth, TCS offers numerous opportunities for professional development and mentorship, particularly in cutting-edge AI technologies. Located in a vibrant tech hub, employees benefit from a dynamic environment that encourages creativity and impactful contributions to transformative projects.

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Contact Details:

Urban Ridge Supplies Recruitment Team

We think you need these skills to ace Enterprise AI Deployment Engineer in Toronto

Data Discovery
API Integration
Model Tuning
Data Modernization
AI Workflow Design
Technical Leadership
Customer Outcomes Focus