Manager, AI Engineer

Application Deadline:

11/09/2026

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

Hybrid with 2-3 days per week onsite

Join our Data, AI Transformation & Analytics (D.A.T.A.) team and help transform how we deliver value through AI and automation. We’re looking for a Manager, AI Engineer, who is passionate about building, optimizing, and deploying AI and automation

solutions that make a real impact.

The Team

We enable and accelerate our partners on their data science and AI journeys, helping teams across BMO unlock value at scale. We are data practitioners, research scientists, visionaries, thought leaders, multipliers, coders, and automation builders. Above all, we are a global team of diverse professionals who enjoy working together to create smart, scalable solutions with impact across the enterprise.

What’s In It For You

You will be at the forefront of shaping the next generation of agentic and automation-first AI solutions. You’ll drive innovation, pushing the boundaries of how AI:

• Automates complex business processes end-to-end,
• Optimizes operational workflows for advisors and customers, and
• Powers autonomous agents that free teams from repetitive, manual tasks.
• You’ll have access to cutting-edge technologies, resources, and training opportunities, working alongside a diverse team of talented individuals to foster a culture of experimentation, automation, and scale.

What You’ll Do

• Develop and Deploy AI Models: Build, fine-tune, and optimize Generative AI models (e.g., LLMs, NLP pipelines) for real-world use cases.
• API & Application Development: Create and maintain APIs and microservices using FastAPIor similar frameworks to integrate AI into business workflows.
• Experimentation & Prototyping: Rapidly prototype new ideas, test hypotheses, and iterate on solutions using creative thinking, data driven decision making, and problem solving skills
• Data Preparation & Processing: Clean, transform, and manage large datasets for training and inference.
• Model Evaluation & Monitoring: Implement evaluation metrics, monitor performance, and ensure models meet quality and compliance standards.
• Automation & Optimization: Identify opportunities to automate processes and improve efficiency across the AI lifecycle.
• Collaborate with Teams: Work closely with data engineers, ML engineers, and business partners to deliver production-ready solutions.

What We’re Looking For

• Technical Expertise in:
  • GitHub, Large Language Models, Lang chain Framework, AWS Bedrock, FastAPI, NLP Text Analysis, Machine Learning, Text Data Processing, Power Automate, Copilot Studio
• Strong coding skills in Python and familiarity with ML frameworks
• Problem-solving mindset: Ability to debug, optimize, and deliver robust solutions.
• Good communication and influencing skills: Explain verbally and in written form technical concepts clearly to peers and stakeholders.
• Experience: Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

Preferred Proficiency

• Generative AI & Deep Learning
• Cloud Platforms (AWS, MS Azure)
• Data Integration & Pipelines

Salary:

$80,000.00 - $175,000.00

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.