Manager, AI Engineer

Job summary

The Manager, AI Engineer will develop, fine-tune, and deploy Generative AI models and microservices to automate complex business processes. They will also collaborate with cross-functional teams to monitor model performance and ensure solutions meet quality and compliance standards.

Job details

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 FastAPI or 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.

What you’ll do

The Manager, AI Engineer will develop, fine-tune, and deploy Generative AI models and microservices to automate complex business processes. They will also collaborate with cross-functional teams to monitor model performance and ensure solutions meet quality and compliance standards.

Requirements

Candidates should have 5-7 years of relevant experience and a post-secondary degree in a related field. Strong coding skills in Python and expertise in AI frameworks like Langchain and AWS Bedrock are required.

Benefits

• Health insurance
• Tuition reimbursement
• Accident insurance
• Life insurance
• Retirement savings plans
• Performance-based incentives
• Discretionary bonuses

Listed skills

• Python · Preferred
• Machine learning · Preferred
• GitHub · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Generative AI
• Large Language Models
• Langchain
• AWS Bedrock
• FastAPI
• NLP
• Machine Learning
• Text analysis
• Data preparation
• Automation
• GitHub
• Power Automate
• Copilot Studio
• Microservices
• API development
• Data Analysis
• Business Process
• Communication
• Milestones (Project Management)
• Problem Solving
• Workflow Management
• Influencing Skills
• Innovation
• Data Science
• Amazon Web Services
• Generative Artificial Intelligence
• Artificial Intelligence
• Data-Driven Decision Making
• Coaching
• Research
• Application Programming Interface (API)
• Data Processing
• Python (Programming Language)
• Microsoft Azure
• Data Integration
• Scalability
• Performance Metric
• Economic Growth
• Debugging
• Creative Thinking
• Data Preprocessing
• Prototyping
• Machine Learning Frameworks
• Github
• Large Language Modeling
• Writing Systems
• Application Development
• Microsoft Power Automate
• Microsoft Copilot Studio

Job areas

• Technology
• Data & Analytics
• Software
• Management & Leadership
• Engineering
• Artificial Intelligence Engineer
• Engineering Manager (General)
• Manufacturing Managers
• Architectural and Engineering Managers

More jobs from BMO