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Entry Level Azure Ai Engineer Jobs in Toronto, ON

Randstad Canada

Cloud/AI Platform Engineer

Toronto, ON

CA$75K - CA$141K/yr

New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI ... Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. * Strong ...

Apertera

Generative AI Engineer

Toronto, ON · On-site

Collaboration About the Role We are looking for a Generative AI Engineer to develop our next ... Experience with cloud platforms like AWS, GCP, or Azure * Excellent problem-solving skills ...

YuJa Inc.

AI Engineer

Toronto, ON · On-site

CA$90K - CA$100K/yr

We're looking for a passionate AI Engineer to join our core engineering team and help design, build ... Knowledge of cloud infrastructure (AWS, GCP, Azure) * Experience in LLM frameworks like LangChain ...

YuJa

AI Engineer

Toronto, ON · On-site

CA$90K - CA$100K/yr

Collaborate with product, design, and engineering to integrate AI models into customer-facing ... Knowledge of cloud infrastructure (AWS, GCP, Azure) * Experience in LLM frameworks like LangChain ...

Derivative Path

Applied AI Engineer

Toronto, ON · Remote

The Opportunity We are looking for an Applied AI Engineer to join the AI Lab team within ... Cloud platform experience (Azure, AWS, or GCP) * Experience with reinforcement learning or ...

BDO Canada

AI Engineer - Generative & Agentic AI

Oakville, ON · On-site

CA$84K - CA$128K/yr

... Azure, AWS, or GCP) * Experience with workflow automation tools like n8n, dify.ai, Power Automate ... A problem-solver with strong engineering rigor and curiosity for cutting-edge AI . * Comfortable ...

ArcelorMittal

AI Platform Specialist

Concord, ON

This entry-level, cross-functional role provides an opportunity to develop skills in stakeholder ... Bachelor's degree or college diploma in Engineering, Computer Science, Information Technology ...

Mercor

DevOps Engineer - AI Model Evaluator

Toronto, ON · Remote

CA$85/hr

Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks ... Experience with AWS , Azure , GCP , Kubernetes , Terraform , CI/CD pipelines , or observability ...

Mercor

DevOps Engineer - AI Model Evaluator

Toronto, ON · Remote

CA$85/hr

Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks ... Experience with AWS , Azure , GCP , Kubernetes , Terraform , CI/CD pipelines , or observability ...

Mercor

DevOps Engineer - AI Model Evaluator

Toronto, ON · Remote

CA$85/hr

Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks ... Experience with AWS , Azure , GCP , Kubernetes , Terraform , CI/CD pipelines , or observability ...

Mercor

DevOps Engineer - AI Model Evaluator

Toronto, ON · Remote

CA$85/hr

Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks ... Experience with AWS , Azure , GCP , Kubernetes , Terraform , CI/CD pipelines , or observability ...

Mercor

DevOps Engineer - AI Model Evaluator

Toronto, ON · Remote

CA$85/hr

Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks ... Experience with AWS , Azure , GCP , Kubernetes , Terraform , CI/CD pipelines , or observability ...

7shifts

AI Automation Engineer

Toronto, ON · On-site

As an AI Automation Engineer at 7shifts, you'll help teams across the business rethink how work ... AWS, Azure, or GCP. * Business-first mindset: You start with the business problem, not the ...

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All JobsAzure Ai Engineer JobsEntry Level Azure Ai Engineer JobsEntry Level Azure Ai Engineer Jobs in Toronto, ON

Entry Level Azure Ai Engineer information

What does an entry level Azure AI engineer do?

An Entry Level Azure AI Engineer is responsible for developing, deploying, and maintaining artificial intelligence solutions using Microsoft Azure's AI services and tools. They typically work on tasks such as building machine learning models, integrating AI APIs, and supporting cloud-based AI applications under the guidance of more experienced engineers. Their role often includes data preparation, testing AI solutions, and ensuring that AI models run efficiently and securely on Azure infrastructure. This position is ideal for those with foundational knowledge in AI, programming, and cloud computing who are looking to grow their skills in a real-world environment. Entry level engineers often collaborate with data scientists, developers, and project managers to deliver AI-driven solutions for various business needs.

What are the key skills and qualifications needed to thrive as an entry level Azure AI engineer?

To thrive as an Entry Level Azure AI Engineer, you need foundational experience in programming (such as Python or C#), understanding of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with Microsoft Azure services (like Azure Machine Learning, Cognitive Services), and certifications such as Microsoft Certified: Azure AI Engineer Associate are highly valued. Problem-solving skills, attention to detail, and effective communication help you collaborate with teams and explain AI solutions to stakeholders. These abilities ensure you can build, deploy, and maintain AI solutions efficiently in cloud-based environments, meeting business needs.

What are some common challenges faced by entry level Azure AI engineers when transitioning from academic projects to real-world applications?

Entry Level Azure AI Engineers often find that real-world projects involve integrating AI models with existing business systems and handling larger, messier datasets than those used in academic settings. Challenges may include learning to work with Azure-specific tools, collaborating with cross-functional teams, and meeting production-level reliability and scalability requirements. New hires also need to quickly adapt to agile development cycles and ongoing feedback, which can differ significantly from the more controlled pace of academic projects.

What is the difference between Entry Level Azure Ai Engineer vs Data Scientist?

AspectEntry Level Azure Ai EngineerData Scientist
Required CredentialsAzure certifications, basic programming skillsStatistics, programming, often a master's degree
Work EnvironmentCloud platforms, AI development teamsData analysis, research, modeling
Industry UsageTech, cloud services, AI projectsFinance, healthcare, tech, research

While both roles involve working with data and AI, an Entry Level Azure Ai Engineer focuses on deploying AI solutions on Azure cloud platforms, requiring cloud certifications and programming skills. A Data Scientist primarily analyzes data, builds models, and may not require cloud-specific certifications. The roles overlap in data handling but differ in technical focus and work environment.

What are popular job titles related to Entry Level Azure Ai Engineer jobs in Toronto, ON?

For Entry Level Azure Ai Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Entry Level Azure Ai Engineer jobs in Toronto, ON look for?

The top searched job categories for Entry Level Azure Ai Engineer jobs in Toronto, ON are:

Entry Level Azure Ai Engineer jobs near you
Infographic showing various Entry Level Azure Ai Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 67% Physical, 6% Hybrid, and 27% Remote job distribution.

Cloud/AI Platform Engineer

BMO Capital Markets

Toronto, ON

CA$75K - CA$141K/yr

Full-time

Medical, Life, Retirement

Posted 11 days ago

Job description

Application Deadline:

08/29/2026

Address:

4100 Gordon Baker Road

Job Family Group:

Technology
AI Platform Engineer (New Graduate)

Location: Toronto, ON (Hybrid)
Job Type: Full-Time
Experience Level: New Graduate / Entry Level

About the Role

Are you looking to make your mark in AI? Are you an AI thought leader?

We are seeking a passionate and curious AI Platform Engineer (New Graduate) to help build, operate, and scale the next generation of AI infrastructure and platforms. This role is ideal for recent university graduates who are excited about cloud computing, artificial intelligence, machine learning platforms, developer tools, and large-scale distributed systems.

It's an opportunity that can make you an AI leader at BMO.

As an AI Platform Engineer, you will work with experienced engineers and data scientists to create reliable, secure, and scalable platforms that enable AI applications and machine learning workloads across the organization.

This is an opportunity to learn from industry experts while contributing to cutting-edge AI solutions that drive real business impact.

What You'll Do
  • Build and maintain cloud-native platform services that support AI and machine learning workloads.
  • Design and implement automation solutions using Infrastructure as Code (IaC).
  • Develop tools, APIs, and services that improve developer productivity and platform reliability.
  • Assist in deploying, monitoring, and scaling AI models and machine learning pipelines.
  • Collaborate with software engineers, data scientists, and product teams to operationalize AI solutions.
  • Monitor platform health and troubleshoot performance, reliability, and scalability issues.
  • Contribute to CI/CD pipelines and DevOps practices for AI and platform engineering teams.
  • Participate in system design discussions and code reviews.
  • Learn and apply best practices around security, observability, governance, and cloud architecture.
QualificationsRequired
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or a related technical field completed within the last 12 months.
  • Strong programming skills in one or more languages such as:
    • Python
    • Go
    • Java
    • C#
  • Understanding of software engineering fundamentals, including:
    • Data structures and algorithms
    • Object-oriented design
    • REST APIs
    • Version control (Git)
  • Familiarity with Linux operating systems and scripting.
  • Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
Preferred
  • Exposure to machine learning, generative AI, or large language models through coursework, projects, or internships.
  • Experience with containers and orchestration technologies such as Docker and Kubernetes.
  • Familiarity with MLOps concepts and tools.
  • Understanding of CI/CD practices and automation.
  • Experience with infrastructure-as-code tools such as Terraform.
  • Contributions to open-source projects, hackathons, research, or personal technical projects.
What You'll Learn
  • AI platform architecture and operations at scale.
  • Cloud-native application design and deployment.
  • MLOps, LLMOps, and AI governance best practices.
  • Platform engineering and site reliability engineering principles.
  • Secure software development and enterprise cloud operations.
What We're Looking For

We're looking for individuals who:

  • Are naturally curious and eager to learn.
  • Enjoy solving challenging technical problems.
  • Thrive in collaborative environments.
  • Take ownership of their work and seek continuous improvement.
  • Are excited about the future of AI and cloud technologies.
  • Critical Thinking
  • Building and managing relationships.
  • Adaptability.
  • Verbal & written communication skills.
  • Collaboration & team skills.
  • Analytical and problem solving skills.
  • Data driven decision making.

Nice-to-Have Technical Skills

  • Azure AI Services, Azure Machine Learning, or Azure Kubernetes Service (AKS)
  • Kubernetes, Docker, Helm
  • Terraform or Bicep
  • GitHub Actions or Azure DevOps
  • Prometheus, Grafana, OpenTelemetry
  • PostgreSQL, Redis, or NoSQL databases
  • LangChain, Semantic Kernel, or other AI frameworks
  • Retrieval-Augmented Generation (RAG) concepts

Salary:

$75,900.00 - $141,900.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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