Toronto, CAhybrid$115k-$135k/yrPosted Jul 17, 2026
Posting intelligenceActively listedReposted 24×, possible evergreen/ghost posting

Skills

pythonopenaillm

About the role

Who We Are

Canada Guaranty is a privately held Canadian mortgage insurer, established in 2010 following the acquisition of AIG United Guaranty Mortgage Insurance Company Canada by the Ontario Teachers’ Pension Plan and National Mortgage Guaranty Holdings Inc.

As a proudly Canadian company, we are committed to service excellence and helping Canadians achieve successful, long-term homeownership. Our mortgage solutions help protect lenders and investors from losses related to borrower default and foreclosure while ensuring Canadians are provided with greater access to affordable and sustainable homeownership.

Canada Guaranty’s performance-driven culture thrives on accountability, collaboration, and supportive teamwork. If you’re a dedicated team player with a strong track record of excellence, we can’t wait to hear from you!

About The Opportunity

The AI Engineer is responsible for designing and building AI solutions that deliver measurable business value to Canada Guaranty. The role combines software engineering, machine learning, generative AI, data engineering, and MLOps practices to develop scalable and secure AI applications.

The successful candidate will have hands-on experience developing AI-powered applications and participating in the end-to-end lifecycle of AI solutions, from experimentation and model selection through deployment, monitoring, governance, and ongoing optimization. While significant AI-specific experience are not required, the successful candidate must demonstrate practical exposure to production AI environments and a strong understanding of enterprise AI delivery practices.

In this role, you will:

AI Solution Development

Design and develop AI-powered solutions using large language models (LLMs), machine learning models, prompt engineering, model orchestration, and related AI technologies.

Evaluate and integrate commercial, open-source, and proprietary AI models.

Software Engineering

Design and develop production-grade AI services and APIs.

Implement AI applications using Python and modern software engineering practices.

Build reusable AI components, frameworks, and libraries to accelerate delivery.

Apply secure coding practices and ensure maintainability, scalability, and reliability of AI solutions.

Data and Model Engineering

Collaborate with data engineers and business teams to identify, prepare, and curate training and retrieval datasets.

Develop and maintain vector databases, embeddings, feature stores, and model pipelines.

Evaluate model accuracy, explainability, performance, and operational suitability.

Conduct model benchmarking and performance testing.

Alignment to AI Governance

Ensure AI solutions comply with organizational AI governance, security, privacy, and regulatory requirements.

Participate in AI risk assessments, model validation, and approval processes.

Maintain documentation supporting model decisions, limitations, assumptions, and controls.

Essential Qualifications

Bachelor's degree in Computer Science, Software Engineering, Data Science, Engineering, or a related discipline.

At least 3 years of software engineering, machine learning engineering, or AI engineering experience.

Demonstrated involvement in the design and development of AI or machine learning solutions within enterprise environments.

Strong software engineering background with experience developing production-grade applications.

Proficiency in Python and modern AI development frameworks.

Understanding of machine learning lifecycle, MLOps, and related best practices.

Knowledge of AI governance, responsible AI principles, model risk management, privacy, and security considerations.

Strong analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications

Experience with LLM platforms such as OpenAI, Mistral, Llama, or similar models.

Familiarity with vector databases, embeddings, semantic search, and knowledge retrieval architectures.

Experience contributing to AI governance, model review, or risk management processes.

What We Offer You

Canada Guaranty is proudly recognized by the Great Place to Work® Institute as one of the Best Workplaces™ in Canada – 100-999 Employees (2025, 2026). We are also honoured to be recognized as among the Best Workplaces™ in Financial Services & Insurance (2024, 2025, 2026), Best Workplaces™ in Ontario (2024, 2025), Best Workplaces™ for Mental Wellness (2025, 2026), Best Workplaces™ for Inclusion (2025), Best Workplaces™ for Women (2025, 2026), and Best Workplaces™ with the Most Trusted Executive Teams (2025, 2026). Join us and see why!

We offer a comprehensive total rewards package, including competitive compensation, company-matched retirement programs, health and dental coverage, flexible work options, and a friendly, inclusive, and supportive culture.

The salary range for this position ranges from $115,000 to $135,000. Offers are determined by a variety of factors, including job-related knowledge, skills, and experience, along with internal equity.

Accommodation Notice

Canada Guaranty is committed to fostering an equitable, accessible environment where all employees feel valued and supported. We are committed to building a workforce that is representative of the communities we serve and work alongside. Candidates may request accommodation at any point during the interview process.

We may leverage AI tools to assist us through our recruitment process. This posting is for an existing vacancy.

#LI-Hybrid

Compensation

This Machine Learning Engineer role pays $115k-$135k/yr. Within typical range for machine learning engineer roles in Canada.

Questions about this role

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