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Artificial Intelligence Developer Jobs in Toronto, ON

The Role We're seeking a DevOps Engineer with strong Azure cloud and DevOps expertise to support ... Use of Artificial Intelligence in Talent Acquisition At Capco, we use artificial intelligence (AI ...

A leading North American financial institution is seeking an AI Developer to build software solutions that incorporate artificial intelligence and machine learning capabilities. The successful ...

DevOps Engineer

Toronto, ON

CA$90K - CA$115K/yr

Could you be the full-time DevOps Engineer in Toronto, ON we're looking for? Your future role We're ... Use of Artificial Intelligence in Hiring We do not use artificial intelligence in the recruiting ...

DevOps Engineer

Toronto, ON · On-site

CA$90K - CA$115K/yr

Could you be the full-time DevOps Engineer in Toronto, ON we're looking for? Your future role We're ... Use of Artificial Intelligence in Hiring We do not use artificial intelligence in the recruiting ...

You'll bring strong software engineering expertise, with a particular focus on Python development ... Use of Artificial Intelligence in Talent Acquisition At Capco, we use artificial intelligence (AI ...

Software Safety Developer

Brampton, ON · On-site

CA$95K - CA$132K/yr

As a Software Safety Engineer, you will be responsible for product safety requirements and analysis ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Mechanical Engineer

Concord, ON · On-site

$90K - $110K/yr

Mechanical Engineer Concord, ON | Full-Time Opportunities Looking for Your Next Engineering ... Use of Artificial Intelligence in Recruitment At Top Tier Talent Group , people remain at the ...

DevOps Architect

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

Could you be the full-time DevOps Architect in Toronto, ON we're looking for? Your future role Take ... Use of Artificial Intelligence in Hiring We do not use artificial intelligence in the recruiting ...

RQ11252 - Sr. AI Engineer 11-month contract (226 business days) - possible extension ONSITE 5 days - 222 Jarvis St Must Have: * 5+ years of experience developin g Artificial Intelligence and Machine ...

DevOps Architect

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

Could you be the full-time DevOps Architect in Toronto, ON we're looking for? Your future role Take ... Use of Artificial Intelligence in Hiring We do not use artificial intelligence in the recruiting ...

Machine Learning Engineer

Toronto, ON · Remote

CA$110K - CA$130K/yr

Use of Artificial Intelligence in the Recruitment Process As part of our recruitment and assessment ... Experience in software engineering best practices, including version control, testing, and code ...

The Role We are seeking an experienced Senior IBM InfoSphere DataStage Developer to join a large ... Use of Artificial Intelligence in Talent Acquisition At Capco, we use artificial intelligence (AI ...

Showing results 21-40

Artificial Intelligence Developer information

See Toronto, ON salary details

$30.1K

$115.8K

$177K

How much do artificial intelligence developer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for artificial intelligence developer in Toronto, ON is $115,782.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,459.00 and $146,968.00 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 Toronto, ON?

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

Infographic showing various Artificial Intelligence Developer job openings in Toronto, ON as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $115,782 per year, or $55.7 per hour.

Principal Engineer, Intelligent Developer Platforms

Scotiabank

Toronto, ON • On-site

Full-time

PTO

Re-posted 28 days ago


Job description

Requisition ID: 267073 
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Principal Engineer, Intelligent Developer Platforms is a senior individual contributor responsible for defining and delivering AIenabled capabilities across Scotiabank's global developer platform ecosystem. This role focuses on embedding artificial intelligence directly into the software delivery lifecycle to improve code quality, application security, technical currency, and delivery efficiency, while operating within the governance, risk, and control expectations of a global financial institution.

Acting as a handson technical leader, this role establishes enterprisewide patterns for AIaugmented software engineering, shapes the evolution of developer platforms, and enables development teams to safely and effectively adopt intelligent automation at scale. The Principal Engineer provides deep technical leadership, influences platform and application teams across the Bank, and plays a critical role in advancing secure software development lifecycle (SDLC) compliance through intelligent.

Is this role right for you? In this role, you will:

  • Define and deliver AI driven capabilities embedded within developer platforms, including automated pull request review aligned to coding standards, secure SDLC requirements, and enterprise security policies.
  • Establish AI assisted decision support mechanisms human in the loop pull request approvals, ensuring explainability, auditability, and measurements.
  • Design AI enabled approaches to proactively identify application currency gaps and technical debt, generating recommended remediation through suggested code changes and pull requests.
  • Lead the development of AI based security review patterns that analyze security scan results, threat and risk assessments, and historical context to provide clear, actionable risk signals.
  • Partner with developer tooling and IDE teams to embed enterprise knowledge into AI agents, enabling controlled and secure interaction with bank systems through approved interfaces and guardrails.
  • Define long term AI patterns for advanced application tiers, including the use of work management artifacts to suggest code changes and measure automation effectiveness.
  • Drive platform level approaches for specification driven workflows, reducing bespoke workflow implementations and enabling consistent operation of AI agents across delivery pipelines.
  • Act as a technical thought leader for AI augmented engineering practices, establishing standards, reference architectures, and guardrails aligned to secure SDLC and policy compliance.
  • Provide technical leadership and mentorship to senior engineers, influencing delivery and platform adoption across multiple teams without direct authority..

 

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

  • Bachelor's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.
  • Extensive experience designing and building largescale developer platforms, CI/CD systems, or software delivery tooling.
  • Demonstrated expertise applying artificial intelligence or advanced automation to software engineering workflows.
  • Strong knowledge of secure software development lifecycle principles, application security, and policy compliance.
  • Proven ability to operate as a senior individual contributor with enterpriselevel influence.
  • Experience within financial services or other highly regulated industries.
  • Background in platform architecture, specificationdriven systems, or workflow automation at scale.
  • Experience mentoring senior engineers and setting technical direction across multiple teams.

 

What's in it for you?

  • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
  • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.  
  • Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
  • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
  • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, Humans of Digital and much more!

Location(s):  Canada : Ontario : Toronto 
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.