09/09/2026

Address:

33 Dundas Street West

Technology

As an AI Platform Lead, you will lead and evolve the enterprise AI platforms, services, and capabilities that enable BMO’s digital transformation, innovation, and responsible AI adoption across the organization. This role is responsible for driving the strategy, architecture, governance, and operational excellence of AI and Machine Learning platforms that power business solutions, customer experiences, developer productivity, and intelligent automation initiatives across the bank.
You will collaborate closely with stakeholders across Technology, Data & Analytics, Digital, Risk, Security, Marketing, Retail Banking, Commercial Banking, Wealth Management, and Enterprise Services to establish scalable AI capabilities that accelerate innovation while ensuring security, compliance, reliability, and cost optimization.
As a qualified candidate, you will be part of a high-performing team responsible for shaping BMO's enterprise AI strategy and execution. As a leader within this space, you should possess the ability to inspire teams, champion innovation, and introduce emerging AI technologies and best practices that elevate our enterprise capabilities and deliver measurable business outcomes.
Your Responsibilities Plans, prioritizes and delivers enterprise AI platform capabilities that provide the greatest business value while adhering to technology governance, security, risk, and regulatory requirements. Acts as the platform owner for AI services, MLOps, GenAI capabilities, and AI development ecosystems. Leads the end-to-end lifecycle of AI platform services from strategy and architecture through implementation, operations, and continuous improvement.

• Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
• Ensures alignment between values and behaviour that fosters diversity, inclusion, and responsible AI practices.
• Acts as a thought leader in Artificial Intelligence, Generative AI, Agentic AI, Machine Learning, MLOps, Data Science platforms, Cloud Engineering, DevSecOps, and AI governance across multiple business lines and technology domains.
• Leads the development and execution of enterprise AI platform strategy, roadmap, and modernization initiatives.
• Drives adoption of AI capabilities and helps business groups identify opportunities to leverage AI for enhanced customer and employee experiences.
• Establishes AI platform standards, architecture patterns, governance frameworks, and best practices across the organization.
• Acts as the prime subject matter expert for AI platforms, LLM technologies, AI orchestration frameworks, MLOps capabilities, and responsible AI controls.
• Provides strategic direction for AI infrastructure, model management, model deployment, AI observability, and platform scalability.
• Evaluates emerging AI technologies, foundation models, AI frameworks, and cloud-native services for enterprise adoption.
• Partners with Risk, Compliance, Privacy, Legal, and Security teams to ensure responsible and compliant implementation of AI solutions.
• Leads enterprise AI governance processes including model lifecycle management, risk assessments, explainability, monitoring, and audit readiness.
• Drives AI operational excellence through automation, platform reliability, security controls, and continuous optimization.
• Develops and manages AI platform operational processes, including cost management, FinOps, capacity planning, and vendor management.
• Provides strategic input into business decisions as a trusted advisor to executive leadership and senior stakeholders.
• Leads workshops and architecture sessions to define AI solution patterns and enterprise implementation approaches.
• Partners with enterprise architecture teams to ensure alignment with organizational technology standards and strategic direction.
• Monitors AI platform utilization, performance, adoption, and cost metrics and implements optimization strategies.
• Ensures AI solutions are secure, resilient, scalable, reusable, and aligned with enterprise engineering standards.
• Provides technical oversight for implementation of GenAI, Agentic AI, Machine Learning, NLP, Recommendation Systems, and Intelligent Automation solutions.
• Supports production incidents, conducts root-cause analysis, and drives continuous improvement activities.
• Builds and promotes reusable AI assets, accelerators, frameworks, and reference architectures.
• Establishes AI SDLC, model deployment pipelines, CI/CD standards, testing frameworks, and release management practices.
• Recommends and automates approaches to streamline AI development, deployment, monitoring, and governance processes.
• Leads cross-functional teams in delivering strategic AI initiatives and business outcomes.
• Mentors engineers, architects, data scientists, and AI practitioners while building communities of practice.
• Stays abreast of AI industry trends, emerging technologies, regulatory developments, and market innovations.
• Operates at a group and enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
• Applies expertise and innovative thinking to address complex and ambiguous business and technology problems.
• Drives continuous improvement and adapts platform capabilities in response to evolving business needs and technology trends.
• Broader work or accountabilities may be assigned as needed.

Your Mindset

• You are a self-starter, strategic thinker, and innovation leader who can manage multiple priorities and complex enterprise initiatives.
• You are passionate about driving business value through Artificial Intelligence, Machine Learning, Generative AI, and emerging technologies.
• You embrace a customer-first mindset and continuously seek opportunities to improve platforms, processes, and user experiences.
• You believe in responsible AI and understand the importance of governance, explainability, security, privacy, and ethical AI practices.
• You thrive in highly collaborative environments and actively partner across business and technology functions to achieve outcomes.
• You are comfortable navigating ambiguity and making data-driven decisions in rapidly evolving technology landscapes.
• You possess the ability to inspire teams, influence stakeholders, and drive organizational change through innovation and technical leadership.

Your Qualifications

• 10+ years of relevant technology experience with 5+ years leading enterprise AI, Machine Learning, Data Platforms, Cloud Engineering, or related technology domains.
• Post-secondary degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field, or an equivalent combination of education and experience.
• Expert knowledge of Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, Large Language Models (LLMs), and AI platform architecture.
• Hands-on experience with enterprise AI platforms such as Azure AI Foundry, Azure OpenAI, AWS Bedrock, Amazon SageMaker, Vertex AI, Databricks Mosaic AI, OpenAI, Anthropic, or equivalent technologies.
• Experience designing and implementing MLOps, LLMOps, and AI governance frameworks at enterprise scale.
• Strong experience with cloud platforms including Azure, AWS, and cloud-native architecture patterns.
• Experience with containerization and orchestration technologies such as Docker, Kubernetes, OpenShift, and serverless platforms.
• Strong software engineering experience in Python, Java, JavaScript, Node.js, REST APIs, and modern development frameworks.
• Experience with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar technologies.
• Experience building and managing CI/CD pipelines and DevSecOps practices using GitHub, Azure DevOps, Jenkins, Terraform, Ansible, and Infrastructure as Code.
• Knowledge of vector databases, knowledge graphs, Retrieval-Augmented Generation (RAG), embeddings, and AI search technologies.
• Experience implementing AI observability, model monitoring, evaluation frameworks, and operational governance controls.
• Strong understanding of security, privacy, compliance, model risk management, and responsible AI principles.
• Experience managing enterprise vendor relationships and evaluating emerging AI technology products and services.
• Knowledge of Agile methodologies, product delivery practices, and technology operating models.
• Knowledge of technical and business environments, financial services technology, and enterprise architecture principles.
• Ability to communicate complex AI concepts to technical and non-technical audiences.
• Seasoned professional with a strong combination of technology leadership, engineering expertise, and business acumen.
• Verbal and written communication skills – In-depth / Expert.
• Analytical and problem-solving skills – In-depth / Expert.
• Stakeholder management and influence skills – In-depth / Expert.
• Collaboration and team leadership skills with a focus on enterprise-wide partnership – In-depth / Expert.
• Ability to manage ambiguity and lead through organizational change.
• Data-driven decision making and strategic planning capabilities – In-depth / Expert.

$85,500.00 - $185,000.00

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.