Senior AI Engineer

This is hybrid role is based out of Toronto that reports into the Senior Technology Officer. As an AI/ML Engineer, you will be part of the AI pod supporting the design and development of business-to-consumer (B2C) applications leveraging AI at BMO. You will lead initiatives to develop, test, deploy and maintain AI/ML models in BMO's cloud environments alongside a pod of data scientists, developers and other key stakeholders. You will make recommendations on the design of AI/ML solutions, guide the defining of requirements and coordinate developers to meet requirements. This role is part of an AI pod in an agile framework in which you will support a Product Owner (PO) and Scrum Master by being their technical advisor on the engineering feasibility for AI/ML solutions.

Main Responsibilities:

• Designs and develops AI/ML systems, including the development of solutions that leverage generative AI using retriever augmented generation (RAG) approaches
• Package and deploy models into production using AWS services, including the building of real-time and batch inference pipelines
• In partnership with data scientists, convert models or SaaS services from POCs in lower environments into production ready systems, including development of monitoring plans
• Alongside solution architects, data architectures and business analytics / product owners, create the overall design of an AI solution to meet business and non-functional requirements
• Develop applications to host AI/ML Models or leverage cloud AI SaaS services and create data flows to downstream consumers
• Research and experiment with cloud AI/ML services in AWS and Azure to inform business and data science stakeholders on capabilities available to support their use cases
• Translate business and data science requirements into infrastructure work packages for cloud deployment, collaborating with cross-functional teams

About You

• 4-7 years of experience in AI/ML product engineering, software engineering, or other related field
• Proficiency with Python and SQL

• Proficiency with AI/ML services in one ore more cloud platforms, with a focused on AWS and/or Azure, including

• AWS: Sagemaker, Bedrock, Lambda, S3, Step functions, ECS/ Fargate

• Azure: Azure AI services, AI Foundry, Azure ML Studio, Azure Storage, Functions

• Cloud Certifications (e.g. AWS Certified Cloud Practitioner, Azure AZ-900) are preferred

• Experience developing and implementing Retriever Augmented Generation (RAG) solutions using multimodal LLMS with frameworks such as Langchain/Langraph or equivalents
• Familiarity with Agentic AI foundation models and concepts including orchestration, tool use, memory and context window management, etc.
• Familiarity with Cloud Development Kit (CDK) constructions and customization
• Verbal & written communication skills - In-depth.
• Collaboration & team skills - In-depth.
• Analytical and problem-solving skills - In-depth.
• Influence skills - In-depth.
• Data driven decision making - In-depth.
• Highly motivated to learn & research, share knowledge & ideas.

Salary:
$82, $154,800.00

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:

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

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.