Application Deadline:
Address:
4100 Gordon Baker RoadJob Family Group:
Location: Toronto, ON (Hybrid)
Job Type: Full-Time
Experience Level: New Graduate / Entry Level
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.
- 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.
- 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.
- 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.
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:
Pay Type:
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.
Skills Required
- Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or related technical field completed within the last 12 months
- Strong programming skills in one or more languages: Python, Go, Java, C#
- Understanding of data structures and algorithms, object-oriented design, REST APIs, and 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
- 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 (or Bicep)
- Contributions to open-source projects, hackathons, research, or personal technical projects
- Familiarity with Azure AI Services, Azure Machine Learning, or Azure Kubernetes Service (AKS)
- Experience with Helm
- Familiarity with GitHub Actions or Azure DevOps
- Experience with monitoring and observability tools such as Prometheus, Grafana, OpenTelemetry
- Experience with data stores such as PostgreSQL, Redis, or NoSQL databases
- Familiarity with AI frameworks and concepts such as LangChain, Semantic Kernel, or Retrieval-Augmented Generation (RAG)
BMO Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about BMO and has not been reviewed or approved by BMO.
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Parental & Family Support — Paid parental leave up to 16 weeks at full pay for all new parents, plus up to $20,000 for adoption, surrogacy, and fertility, and 10 days of paid backup childcare indicate robust family support. These elements stand out within BMO’s U.S. package.
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Retirement Support — A 401(k) design combining a core employer contribution with dollar-for-dollar matching up to a set portion of pay, plus immediate vesting on match and employee contributions, signals strong retirement funding. The core contribution’s three-year vesting is clearly defined.
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Leave & Time Off Breadth — Vacation accrual scales with grade and service, alongside 9–10 paid holidays and additional paid time off buckets (bereavement, school activities, civic duties, blood donation, volunteering). This breadth offers multiple avenues for time away beyond standard vacation.
BMO Insights
What We Do
At BMO, banking is our personal commitment to helping people at every stage of their financial lives. The truth is, people’s needs change: so we change too. But we never change who we are. Which means we’ll never waiver from providing our customers the best possible banking experience in the industry. Our incredible team of over 46,000 people is just the tip of the iceberg. You should get to know us. We’re here to help.
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