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Artificial Intelligence Developer Jobs in Ontario

Optimize Financial Group

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Full Stack Web Developer

Toronto, ON · On-site

We are looking for a skilled Developer to help build and maintain our cutting-edge wealth ... Use of Artificial Intelligence in Recruitment As part of our recruitment and selection process, we ...

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Principal Forward Deployed Engineer

Toronto, ON

Working closely with Artificial Intelligence, engineering, and business stakeholders, the FDE Practice Lead will champion best practices and drive measurable value through AI-enabled transformation ...

BinSentry

Software Developer - HD

Kitchener, ON · On-site

As a leader in the use of artificial intelligence, BinSentry offers technology solutions that pair ... As we scale up, we are looking for a Software Developer to help us build the software that is ...

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All JobsArtificial Intelligence Developer JobsArtificial Intelligence Developer Jobs in Ontario

Artificial Intelligence Developer information

See Ontario salary details

$31.5K

$121.3K

$185.5K

How much do artificial intelligence developer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for artificial intelligence developer in Ontario is $121,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $154,000.00 per year, depending on experience, location, and employer.

What is an artificial intelligence developer?

Artificial Intelligence Developers are professionals who design, build, and implement AI-powered systems and applications. They use programming languages like Python, R, or Java, and work with machine learning frameworks to create algorithms capable of learning from data. Their responsibilities include developing AI models, testing and deploying solutions, and ensuring that AI systems perform accurately and efficiently. AI Developers often collaborate with data scientists, engineers, and business stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as an artificial intelligence developer?

To thrive as an Artificial Intelligence Developer, you need a solid background in computer science, mathematics, and programming languages such as Python, along with experience in machine learning and data analysis. Familiarity with frameworks and tools like TensorFlow, PyTorch, and cloud computing platforms, as well as relevant certifications, is often required. Strong problem-solving abilities, creativity, and effective teamwork are vital soft skills for excelling in this field. These skills and qualities are crucial because they enable the development of innovative AI solutions that address complex real-world challenges efficiently and collaboratively.

What are some common challenges faced by artificial intelligence developers when deploying machine learning models into production environments?

Artificial Intelligence Developers often encounter challenges when moving machine learning models from development to production, such as managing data pipeline integration, ensuring model scalability, and monitoring model performance over time. Addressing issues like data drift, ensuring reproducibility, and meeting latency requirements for real-time applications can also be complex. Collaboration with data engineers, DevOps teams, and business stakeholders is crucial to ensure a smooth deployment process and ongoing model maintenance. By proactively planning for these challenges, AI Developers can help deliver reliable and effective AI solutions.

What is the difference between Artificial Intelligence Developer vs Data Scientist?

AspectArtificial Intelligence DeveloperData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; programming skills in Python, JavaBachelor's or master's in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&D labsAnalyzes data, builds models, and provides insights; in tech, finance, healthcare sectors
Employer & Industry UsageUsed by tech firms, startups, research institutions focusing on AI solutionsUsed across industries for data analysis, predictive modeling, and decision support

While both roles require programming and a strong understanding of data, Artificial Intelligence Developers focus on creating AI systems and algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. Both roles often collaborate but serve different primary functions within tech and data-driven organizations.

How do I become an artificial intelligence developer?

To become an artificial intelligence developer, you typically need a strong foundation in computer science, programming skills in languages like Python or Java, and knowledge of machine learning frameworks such as TensorFlow or PyTorch. Earning a bachelor's degree in a related field and gaining experience through projects, internships, or certifications can also help build relevant expertise.

How much do artificial intelligence developers get paid?

Artificial intelligence developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in machine learning, deep learning, and relevant programming languages like Python often command higher salaries.

What are popular job titles related to Artificial Intelligence Developer jobs in Ontario?

For Artificial Intelligence Developer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Developer jobs in Ontario look for?

The top searched job categories for Artificial Intelligence Developer jobs in Ontario are:

What cities in Ontario are hiring for Artificial Intelligence Developer jobs?

Cities in Ontario with the most Artificial Intelligence Developer job openings:

Artificial Intelligence Developer jobs near you
Infographic showing various Artificial Intelligence Developer job openings in Ontario as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,322 per year, or $58.3 per hour.

Senior Business Intelligence Developer

Cineplex

Toronto, ON

Full-time

Posted 6 days ago

Job description

What you will do:

Job Summary

Reporting to the Manager, Business Intelligence & Insights, the Senior Business Intelligence Developer will design and deliver modern analytics solutions that help drive data-informed decision-making across Cineplex. You will develop Power BI solutions, work with Databricks and enterprise data sources, solve complex data challenges, and partner with business and technology teams to deliver trusted reporting and insights. You will also leverage approved Generative AI and Agentic AI tools to improve development processes, testing, documentation, and overall efficiency.

This is a hybrid position (3 days in the office per week). Office location is 1303 Yonge Street, Toronto.

Key Responsibilities

  • Build, enhance, and support Power BI reports, dashboards, and data models that deliver meaningful insights to teams across Cineplex.

  • Develop and optimize Databricks SQL, DAX, Power Query, and reporting solutions to improve performance, reliability, and the overall user experience.

  • Lead and support the modernization of reporting and analytics solutions, ensuring a smooth transition through testing, validation, and stakeholder engagement.

  • Investigate data issues and business questions, uncover root causes, define key metrics, and provide actionable recommendations that drive better decision-making.

  • Collaborate closely with business and technology partners to gather requirements, design solutions, establish governance standards, and support user adoption through training and knowledge sharing.

  • Leverage approved Generative AI and Agentic AI tools to streamline analytics development, testing, documentation, automation, and stakeholder self-service capabilities.

Requirements

  • Post-secondary degree or diploma in Computer Science, Data Science, Statistics, Mathematics, Engineering, Business Analytics, or a related quantitative discipline, or equivalent practical experience.

  • 5+ years of progressive experience delivering business intelligence, analytics, or data solutions in complex organizations.

  • 3+ years of advanced Power BI development, including semantic models, DAX, Power Query, Power BI Service, security, and performance optimization.

  • 2+ years of hands-on Databricks SQL experience working with enterprise-scale analytical datasets.

  • Advanced SQL experience writing, troubleshooting, and optimizing complex analytical queries.

  • Experience with dimensional data modelling, semantic layers, enterprise KPI development, data validation, and ETL/ELT concepts.

  • Experience with report, data, or analytics-platform migration, including reconciliation, testing, dependency analysis, and stakeholder acceptance.

  • Hands-on experience using Generative AI or Agentic AI tools to improve analytics development, testing, documentation, or business workflows.

  • Experience with Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Python/PySpark, Unity Catalog, Git, Azure DevOps, or CI/CD practices is considered an asset.

  • Relevant Microsoft Power BI, Microsoft Fabric, Azure, or Databricks certification is considered an asset.

  • Training or certification related to data governance, analytics engineering, or artificial intelligence is considered an asset.

Skills & Capabilities

  • Strong analytical and problem-solving skills, with the ability to investigate complex data challenges, identify root causes, and deliver actionable insights.

  • Ability to translate business needs into scalable analytics solutions, trusted metrics, and meaningful reporting.

  • Understanding of data governance best practices, including data quality, lineage, metadata, security, and documentation.

  • Strong communication and stakeholder management skills, with the ability to effectively partner with technical teams, business stakeholders, and senior leaders.

  • Demonstrated ability to manage multiple priorities, dependencies, risks, and deliverables in a fast-paced environment.

  • Ability to mentor team members, share best practices, and provide technical guidance.

  • Understanding of the responsible and effective use of Generative AI and Agentic AI within an enterprise analytics environment.

Inclusion & Diversity

Cineplex, its subsidiaries, and affiliates are equal opportunity employers with a commitment to hiring and retaining a diverseworkforce. We encourageand welcomeapplications from all intersectional walks of life.The collective sum of our individual differences, experiences, knowledge, innovation, self-expression, uniquecapabilities,and talent represents a significant part of our culture. By valuing a diverse workforce,weenforce hiring practices that are fair and equitable.

Accessibility

We are committed to improving access and opportunities for all individuals, including those with disabilities by identifying and removing barriers that may prevent, inhibit, or restrict their access to employment opportunities. If you require accommodation at any stage of our hiring process (application, interviews, assessments, and placement), please contact us at 416-323-6600 or via email at jobs@cineplex.com.

Use of AI

We use AI-assisted tools to help us review applications and support parts of the recruitment process. However, every application is reviewed by our HR team, and all hiring decisions are made by our people, not by AI.

This position is a current vacancy and is being actively recruited to fill an existing role within the organization.

While we appreciate all interest, only those candidates selected for an interview will be contacted.

Wage ($):

$85,000 - $110,000CAD

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