The client is a digital healthcare start-up on a mission to transform hospital care with AI. They provide hospitals with an end-to-end clinical AI solution that delivers better patient outcomes, reduced stress on staff and improved access to care. The platform provides model lifecycle management, including model development, deployment, monitoring, and operations, at a large scale.
As a Forward Deployed Engineer, you own the implementation of the client's platform inside a partner health system end to end. You'll embed with their teams, connect to their secure data systems, learn how their AI models and clinical workflows actually work, and build the monitoring and governance that fits them, including bespoke monitors when the standard ones don't.
You'll work closely with hospital stakeholders to earn their trust, understand their problems more deeply than they've articulated them, and spot the opportunities worth building for. What you learn in the field flows back to the platform: the patterns you surface and the tooling you build make our platform better for every partner. Reliability and correctness aren't
features here; they're the job. In healthcare the consequences of failure are categorically different - you'll work at the point where AI safety stops being theoretical and starts being a patient outcome.
Client has a hybrid office arrangement. You will be required to come into the office in downtown Toronto (walking distance from Bay Station) twice a week.
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