Ai engineer

BMO Financial Group; Toronto; On-site; CAD 67,000 - 125,000; Full time

Job summary

A leading financial institution in Toronto is seeking a Junior AI Engineer to join their API and Integration team. In this role, you will be responsible for designing and developing innovative AI and integration solutions. The ideal candidate will have 1-3 years of experience in software engineering, a strong grasp of AI concepts, and programming skills in Python, NodeJS, and Java. You will work in a fast-paced environment leveraging AWS technologies, making it an exciting opportunity for growth in the AI/ML space.

Benefits

Health insurance

Tuition reimbursement

Retirement savings plans

Mentorship opportunities

Qualifications

• 1-3 years of experience in software engineering, AI/ML, or a related field.
• Basic understanding of AI/ML concepts with hands-on exploration experience.
• Strong programming experience in Python, NodeJS, and Java.

Responsibilities

• Develop and implement proof-of-concepts using Generative AI and others.
• Build and deploy AI/ML models enhancing API integration capabilities.
• Collaborate with engineers for production deployment of models.

Skills

Python programming

NodeJS programming

Java programming

AWS cloud services

AI/ML concepts

API design knowledge

Generative AI familiarity

Education

Bachelor's degree in Computer Science or related field

Tools

AWS AI/ML services

AWS Lambda

AWS S3

LangChain or similar frameworks

Job description

Application Deadline: 12/30/2025

Address: 33 Dundas Street West

Job Family Group: Data Analytics & Reporting

About the Role

Join our dynamic API and Integration team, responsible for designing and developing cutting-edge API and integration solutions across diverse domains, including retail payments, financial crimes and AML integrations, cards, and lending. As we establish our AI practice to build AI/ML capabilities across the organization, you will help enhance our API and integration offerings through innovative AI solutions.

Leveraging the AWS technology stack, we build scalable and secure APIs to enable seamless integration between applications and drive innovation. As a junior AI Engineer, you will contribute to developing and deploying AI solutions that seamlessly integrate with our AWS-based technology stack. This is an excellent opportunity for someone with 1+ years of AI/ML exploration looking to build a career in the AI/ML space within a fast-paced, innovation-driven environment.

Main Responsibilities

• Develop and implement proof-of-concepts (POCs) using Generative AI, RAG (Retrieval Augmented Generation), MCP, and Agentic AI technologies
• Build and deploy AI/ML models and solutions that enhance API and integration capabilities across payment, financial crimes, cards, and lending domains
• Collaborate with senior engineers to package and deploy models into production using AWS services
• Support the development of real-time and batch inference pipelines for API integration scenarios
• Work with cross-functional teams to translate business requirements into AI-powered API solutions
• Assist in creating monitoring and maintenance plans for AI solutions in production environments
• Research and experiment with emerging AI/ML technologies and AWS services to support business use cases
• Contribute to the overall design of AI solutions that meet business and technical requirements
• Support the integration of AI capabilities into existing API infrastructure

About You

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or related technical field
• 1-3 years of experience in software engineering, AI/ML, or related field
• Basic understanding of AI/ML concepts and technologies with 1+ years of hands‑on exploration
• Strong programming experience in Python, NodeJS, and Java
• Good knowledge of AWS cloud services and technologies
• Understanding of API design and integration principles
• Familiarity with Generative AI concepts and applications

Preferred Qualifications

• Experience with AWS AI/ML services (SageMaker, Bedrock, Lambda, S3, Step Functions)
• Basic understanding of RAG (Retrieval Augmented Generation) implementations
• Familiarity with AI frameworks such as LangChain or similar
• Knowledge of Agentic AI concepts including orchestration and tool use
• AWS certifications are a plus
• Experience with RESTful APIs and microservices architecture

Skills & Attributes

• Strong analytical and problem‑solving skills
• Excellent collaboration and communication abilities
• Passion for innovation and learning new technologies
• Ability to work effectively in a fast‑paced, agile environment
• Eagerness to research, learn, and share knowledge
• Growth mindset with desire to build expertise in AI/ML space

What We Offer

• Opportunity to be part of establishing an AI practice from the ground up
• Exposure to diverse financial domains and cutting‑edge technologies
• Mentorship and growth opportunities within our experienced team
• Hands‑on experience with AWS cloud technologies and AI/ML services
• Fast‑paced, innovation‑focused work environment

Salary

$67,200.00 - $124,200.00

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.

Recruiter Note

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.