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Associate Ai Engineer Jobs in Ontario (NOW HIRING)

Associate AI Engineer

Toronto, ON · Hybrid

CA$60K - CA$80K/yr

The Opportunity ShyftLabs is looking for an Associate AI Engineer (New Grad) to join our growing engineering team. This is an exciting opportunity for a recent graduate or early-career engineer who ...

AI Engineer

Guelph, ON · On-site

CA$110K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

AI Engineer

Markham, ON · On-site

CA$110K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

AI Engineer

Concord, ON

CA$110K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

AI Engineer

Kitchener, ON · On-site

CA$110K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

Cloud AI / ML certifications (e.g., Azure AI Engineer Associate or better, AWS Machine Learning Specialty or better, Google Professional ML Engineer or better, Databricks ML Engineer Associate or ...

Cloud AI / ML certifications (e.g., Azure AI Engineer Associate or better, AWS Machine Learning Specialty or better, Google Professional ML Engineer or better, Databricks ML Engineer Associate or ...

AI-102 (Azure AI Engineer Associate) or DP-100 (Azure Data Scientist) certification Salary - $120,000 Reasons to Apply, Stay and Grow with Emterra Group: * Opportunity to be part of one of Canada ...

Reporting to the Associate Director, AI and ML, this role is hands-on across the full AI delivery ... Collaborating with Software Engineering, Customer Success, and business stakeholders in an Agile ...

Certification in Azure Data Engineer Associate or Azure AI Engineer Associate is an asset but not required KPMG Ontario Region Pay Range Information The expected base salary range for this position ...

AI or machine learning certifications such as Microsoft Certified Azure AI Engineer Associate or IBM AI Engineering Professional Certificate. What's in it for you? * Diversity, Equity, Inclusion ...

Data Engineer

Kitchener, ON · On-site

CA$90K - CA$150K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data ... Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect ...

Data Engineer

Guelph, ON · On-site

CA$90K - CA$150K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data ... Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect ...

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Associate Ai Engineer information

What does an Associate AI Engineer do?

An Associate AI Engineer assists in designing, developing, and implementing artificial intelligence models and applications. They typically work under the guidance of senior engineers to build machine learning algorithms, preprocess data, and test AI solutions. Their responsibilities often include writing code, evaluating model performance, and collaborating with data scientists and software developers. This entry-level role provides hands-on experience in AI technologies and helps build a foundation for more advanced engineering positions.

What are the key skills and qualifications needed to thrive as an Associate AI Engineer?

To thrive as an Associate AI Engineer, you need a solid understanding of programming (especially Python), mathematics (linear algebra, probability, statistics), and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms such as AWS or Google Cloud are typically required. Strong problem-solving abilities, effective communication, and a willingness to learn new technologies help distinguish top performers in this role. These skills and qualities are essential for successfully developing, implementing, and maintaining AI solutions in a collaborative and rapidly evolving environment.

How much does an associate AI engineer make?

An associate AI engineer typically earns between $70,000 and $100,000 annually, depending on experience, location, and the industry. Entry-level positions may start lower, while those with specialized skills in machine learning, programming, and data analysis can earn higher salaries.

What is the difference between Associate Ai Engineer vs Data Scientist?

AspectAssociate Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, startups, R&D teams; focus on AI model developmentResearch labs, tech firms, finance; focus on data analysis and modeling
Employer & Industry UsageAI-focused roles in tech, healthcare, financeData analysis across industries like marketing, finance, healthcare

Associate Ai Engineers typically focus on developing and implementing AI models, often working closely with data and algorithms. Data Scientists analyze large datasets to extract insights and build predictive models. While both roles require programming skills and a background in data or AI, Associate Ai Engineers are more involved in the technical development of AI systems, whereas Data Scientists focus on data analysis and interpretation.

What are some common challenges an Associate AI Engineer may face when working on real-world machine learning projects?

As an Associate AI Engineer, you may encounter challenges such as handling imperfect or limited datasets, balancing model performance with computational constraints, and integrating AI solutions into existing products. Collaboration with data scientists, software engineers, and product managers is crucial to refine objectives and ensure technical feasibility. Additionally, keeping up with evolving AI frameworks and best practices can be demanding, but it provides valuable learning opportunities and skill growth.

What are the most commonly searched types of Ai Engineer jobs in Ontario?

The most popular types of Ai Engineer jobs in Ontario are:

Infographic showing various Associate Ai Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 63% Full Time, 34% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Associate AI Engineer / AI Engineer

Applied Systems Canada

Toronto, ON

CA$80K - CA$120K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 10 days ago


Job description

Canada External Job Ad

Amazing Career Moments Happen Here 

Transforming the insurance industry is ambitious, we know. That's why at Applied, we're building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers, all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the Insurtech industry, we're not just redefining what's achievable; we're creating a place where amazing career moments are made possible. 

Position Overview 

We're seeking an Associate AI Engineer / AI Engineer to build and enhance data solutions and AI initiatives for the business of insurance.

In this role, you will work closely with the Principal Data Architect, Data Scientists, and Software Engineers to build, model, and maintain data solutions as we optimize data architecture and accessibility of large-scale datasets for our global teams. 

What You'll Do 

  • Use AI-first tools and AI agents to contribute to developmentwithin your team's product area, with guidance from senior engineers 
  • Translate well-defined requirements into buildable specifications to develop and deploy solutions valued by customers 
  • ReviewAI-generated output to enhance code and documentation in alignment with standards for security, privacy, reliability, and quality before merging to production 
  • Track production trends to iterate based on what the data shows
  • Document effective prompts, patterns, and approaches that work for your team
  • Participate in code reviews to enhancecontributions with input from Senior Software Engineers 
  • Exhibit behaviors that exemplify Applied Systems' Values in ActionSupport development of generative AI prototypes, prompt design, and fine-tuned modelsStay current on advancements in Google Cloud, conversational AI, and applied AI engineeringAssist senior engineers and scientists on larger initiatives to scale AI capabilities across the platform
  • Perform other duties as assigned. 

We're looking for someone who:

  • Can work Hybrid from our Toronto Applied Systems office.

We're Excited to Learn More About You 

Qualifications:

  • Degree in Computer Science, a related field, or equivalent combination of education and experience
  • Foundational knowledge of software engineering principles and practices, including documentation, testing, debugging, and data structures
  • Hands-on experience using AI coding agents (e.g., Claude Code, Cursor, Copilot) to write, refactor, or extend code
  • Ability to write clear prompts and iterate to achieve desired outcomes
  • Familiarity with full-stack application concepts: frontend, backend, data, and infrastructure
  • Familiarity with modern, cloud-based technologies and software security practices
  • Basic knowledge of CI/CD and use cases for automated testing
  • Basic knowledge of Agile frameworks and tools like Jira and Confluence
  • Strong communication skills and a collaborative, learning-oriented mindset

Preferred Qualifications:

  • Exposure to one or more of: Go, React, C#, Python
  • Familiarity with common architectural patterns: web applications, APIs, databases, queues
  • Experience evaluating AI-generated output for security, correctness, or quality

We know that talent comes from all backgrounds and experience levels. We encourage military members and their spouses, as well as candidates without a degree or a background in tech, to apply! 

When You Join Team Applied, You Can Expect: 

A culture that values who you are and recognizes that you aren't just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day. 

We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them. 

A comprehensive benefits and compensation package that centers our teammates and helps them to bring their best to work every day: 

  • Medical, Dental, and Vision Coverage
  • Holiday and Vacation Time
  • Health & Wellness Days
  • A Bonus Day for Your Birthday
  • Learn more about the people behind our products at https://www1.appliedsystems.com/en-us/about-us/jobs/

The total anticipated annual compensation range for this existing position is CAD $80,000- $120,000 per year, which includes starting base salary and, where applicable, variable or incentive pay.  To determine a new team member's starting pay, we consider a variety of factors, including someone's depth, breadth, and variety of experience, skills, and responsibilities.    

Your Security Matters: 

Our candidates' personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information, or sensitive information like social security numbers.

AI Utilization

We leverage AI tools to streamline parts of our recruitment workflow (such as resume parsing and interview scheduling). However, candidate screening, interviews, and final decisions are conducted by real humans.

EEO Statement 

Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don't discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law. 

#LI-CA or #LI-Hybrid 

 

Employment Type: OTHER