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Entry Level Azure Ai Engineer Jobs in Ontario (NOW HIRING)

Cloud certifications such asAWS Certified Machine Learning / AI PractitionerorMicrosoft Azure AI Engineer Associate. * Experience embedding Responsible AI, evaluation frameworks, and enterprise ...

AI Engineering Specialist

Waterloo, ON · On-site

CA$108K - CA$152K/yr

Cloud certifications such asAWS Certified Machine Learning / AI PractitionerorMicrosoft Azure AI Engineer Associate. * Experience embedding Responsible AI, evaluation frameworks, and enterprise ...

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 ...

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 ...

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 ...

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 ...

AI Engineer

Toronto, ON

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 ...

AI Engineer - Generative & Agentic AI

London, 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 ...

AI-102 Azure AI Engineer is valued. * Experience coaching or mentoring citizen developers, or running enablement programs such as hackathons, office hours, or maker communities. Skills & Competencies

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

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

What are popular job titles related to Entry Level Azure Ai Engineer jobs in Ontario?

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

What cities in Ontario are hiring for Entry Level Azure Ai Engineer jobs?

Cities in Ontario with the most Entry Level Azure Ai Engineer job openings:

Infographic showing various Entry Level Azure Ai Engineer job openings in Ontario as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

CA$108K - CA$152K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


Job description

Worker Sub-Type:

Regular

Job Description:

About the role

BlackBerry IT is investing in practical, secure AI to make every employee more capable. We're hiring anAI Engineering Specialistto sit at the intersection of the business and our AI platform. The person teams come to when they want to understand what's possible, and the person who then builds it, and deploys it to the cloud

This is a a builder-enabler role: you'll embed with functions across BlackBerry (Finance, Sales, Legal, HR, Operations, Engineering support), find the highest-value use cases, prototype agents and copilots, deploy them securely across ourAzure and AWSenvironments, and turn one-off wins into reusable patterns that scale. Throughout, you'll keep less-technical colleagues firmly in the driver's seat.

What you'll do

Find and frame the value

  • Embed with business teams to map their processes and pain points and identify where AI agents create the highest leverage.
  • Translate ambiguous business problems into well-scoped AI solutions with clear before/after metrics.

Build and deploy

  • Rapidly prototype and ship AI solutions using Python and LLM APIs (e.g., Azure OpenAI,Amazon Bedrock, Anthropic Claude).
  • Build agents and copilots using Microsoft Copilot Studio, Azure AI Foundry, and the M365 ecosystem; extend Copilot with custom plugins and declarative agents that surface enterprise data in Teams and Office.
  • Build and orchestrate agents on AWS usingAmazon Bedrock (Agents, Knowledge Bases, Guardrails)and related services.
  • Deploy and operate agents on cloud infrastructure leveraging Azure (Container Apps, Functions) and AWS (Lambda, ECS/Fargate, Bedrock), with appropriate state management, monitoring, and cost controls.
  • Implement RAG patterns over BlackBerry's enterprise content usingAzure AI Search and/or Amazon Bedrock Knowledge Bases / OpenSearch(vector + semantic search).

Enable less-technical users

  • Turn skeptics into users and users into builders.
  • Create self-serve templates, playbooks, and guardrailed building blocks so business users can safely create and run their own agents.
  • Act as the bridge between the platform/engineering teams who build foundational capability and the business who consumes it, translating requirements in both directions.

Do it securely and responsibly

  • Partner with Security, Privacy, and Governance to ensure every deployment meets BlackBerry's data-protection, access-control, and Responsible AI standards - fitting for a company whose business is trust and security.
  • Apply cloud-native security controls across providers (Azuremanaged identities/private endpoints/content safety;AWSIAM, VPC endpoints, Bedrock Guardrails).
  • Build evaluation, human-in-the-loop, and monitoring practices in from day one.

What you'll bring

Required

  • 4+ years in software/AI/data engineering or technical consulting, with hands-on delivery of working solutions (not just prototypes).
  • Strong Python; experience integrating LLM APIs and building agentic or RAG workflows.
  • Experience deploying applications to Azure and/or AWS, including containerized/serverless patterns.
  • Proven ability to explain complex technical topics to non-technical audiences and to context-switch between a deeply technical and a commercial conversation.

Preferred

  • Hands-on with theAWS AI stack: Amazon Bedrock, SageMaker, Lambda, and AWS agent/orchestration tooling.
  • Hands-on with the Microsoft GenAI stack: Copilot Studio, Azure AI Foundry, M365 Copilot extensibility, Power Platform.
  • Familiarity with agent frameworks/orchestration and agent protocols such as MCP.
  • Cloud certifications such asAWS Certified Machine Learning / AI PractitionerorMicrosoft Azure AI Engineer Associate.
  • Experience embedding Responsible AI, evaluation frameworks, and enterprise security controls.
  • Background working in a security or compliance-sensitive enterprise.

Scheduled Weekly Hours:

40

Compensation Hiring Base Salary Range:

$108,750.00 - $152,250.00

Please be advised that the compensation hiring range indicated herein is provided solely as a good-faith estimate of expected base compensation for the position. The actual compensation offered will be determined at the time of hire and is contingent upon multiple factors, including but not limited to the candidate's qualifications, relevant experience, demonstrated skills, and results of assessments conducted during the hiring process.

Bonus:

The BlackBerry Variable Incentive Pay (VIP) program is an organization-wide bonus incentive program which aims to reward full-time eligible employees for their contribution to BlackBerry's success. VIP payments are made in addition to base salary and factor in company's performance as a way for employees to share in BlackBerry's achievements.

Benefits:

The BlackBerry Employee Benefits programs offer a wide range of benefits that support your physical, financial and personal well-being. BlackBerry remains committed to offering affordable benefits including coverage for medical, dental, vision, life, disability insurance, retirement, employee share purchase program and paid-time-off to those that meet the eligibility requirements.

Disclosure of Position Status:

This is an active opening. We are seeking to fill this position immediately

Disclosure of Artificial Intelligence:

We donot use artificial intelligence (AI)to screen, assess, or select applicants at any stage of our recruitment process. All applications are reviewed and evaluated by our hiring team.