Forward Deployed Engineer

Job summary

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.

Job details

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

What you’ll do

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.

Listed skills

• Problem solving · Preferred
• Java · Preferred
• Communication Skills · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

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

Job areas

• Software
• Technology
• Healthcare
• Engineering
• Data & Analytics

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