Lead Forward-Deployed AI Engineer in Mississauga

Lead Forward-Deployed AI Engineer in Mississauga

Mississauga Full-Time 135000 - 165000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Transform complex challenges into AI solutions while collaborating with business and clinical teams.
  • Company: Join the US Oncology Network, a leader in healthcare innovation.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a dynamic team focused on scalable and governed outcomes.
  • Why this job: Make a real difference in healthcare by delivering impactful AI solutions.
  • Qualifications: Experience in AI engineering and strong collaboration skills required.

The predicted salary is between 135000 - 165000 $ per year.

The US Oncology Network is seeking a Lead Forward Deployed Engineer to partner with business and clinical teams, turning complex problems into validated AI-enabled solutions.

You will own frontend AI delivery and guide production handoffs with engineering, data, and security teams.

You will work in a hybrid model, embedding with stakeholders to frame problems, build prototypes, and ensure scalable, governed outcomes across enterprise environments.

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Lead Forward-Deployed AI Engineer in Mississauga employer: Urban Ridge Supplies

The US Oncology Network is an exceptional employer that fosters a collaborative work culture, where innovation meets purpose. As a Lead Forward-Deployed AI Engineer, you will have the opportunity to work closely with both business and clinical teams, driving meaningful change in patient care through cutting-edge AI solutions. With a strong emphasis on employee growth and a hybrid work model, you can expect a supportive environment that values your contributions and encourages professional development.

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Contact Details:

Urban Ridge Supplies Recruitment Team

We think you need these skills to ace Lead Forward-Deployed AI Engineer in Mississauga

AI Solution Development
Frontend Development
Collaboration with Business Teams
Collaboration with Clinical Teams
Prototyping
Problem Framing
Scalability