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Added 9 days ago
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Arcadia

Forward Deployed Engineer

Toronto, ON, Canada

Pay: $120,000 to $150,000 CAD / year
Job type: Full-time
Apply by: Oct 14, 2026
Posting language: English
Posted: Sep 14, 2026

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Original job description

We are working with a fast-growing AI software company, and they are looking to hire a Forward Deployed Engineer in Toronto to help bring AI into real-world healthcare environments. It's AI Management System helps major North American health systems monitor, govern, and safely scale predictive AI, generative AI, and emerging agentic applications.

This is a hands-on engineering role combining software development, AI implementation, and direct collaboration with customers. You’ll own platform deployments end to end, build integrations with hospital systems, and work closely with clinical and technical stakeholders to solve meaningful problems.

What You’ll Do

Own the implementation and deployment of an enterprise AI platform across partner health systems

Build backend integrations and data pipelines connecting the platform to secure hospital data systems

Work with hospital teams to understand their AI applications, clinical workflows, and monitoring requirements

Help onboard predictive models, LLM applications, and agentic systems, identifying appropriate metrics and developing custom monitors where needed

Partner with clinicians, hospital technology teams, and internal Engineering, Data, ML, and Governance teams to drive implementations through to production

Troubleshoot integration and deployment challenges, with a strong focus on reliability and correctness

Turn recurring customer requirements into reusable tooling and platform improvements

What We’re Looking For:

Strong software engineering fundamentals and hands-on backend development experience in Python, Java, or similar languages

Hands-on experience building LLM-based applications, with exposure to delivering AI systems in production or customer-facing settings

Excellent communication skills and the ability to explain technical concepts to non-technical stakeholders

Strong problem-solving skills, initiative, and comfort owning work from requirements through delivery

A strong academic background in Computer Science, Engineering, Mathematics, or a related technical discipline

Software engineering, ML engineering, or hands-on technical consulting backgrounds are all relevant

Experience with healthcare data, regulated environments, or secure enterprise deployments is a plus

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More about this job

Responsibilities

The role involves owning the end-to-end implementation and deployment of an enterprise AI platform within healthcare environments. This includes building backend integrations, data pipelines, and collaborating with clinical stakeholders to monitor and scale AI applications.

Requirements

Candidates need strong software engineering fundamentals in Python or Java and hands-on experience delivering LLM-based applications in production. A technical degree in Computer Science or a related field is required, with healthcare data experience being a plus.

Skills

Python
Java
LLM Application Development
Backend Development
Data Pipelines
AI Implementation
Software Engineering
Technical Consulting
Problem Solving
Communication Skills
Healthcare Data Integration
Enterprise Deployment

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Generative AI
Predictive AI
Agentic Applications
LLM
Python
Java
Healthcare IT
Data Pipelines
Backend Engineering
Enterprise Software
ML Engineering
Clinical Workflows
AI Governance

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