Senior Manager, Generative Artificial Intelligence

Senior Manager, Generative Artificial Intelligence

Join to apply for the Senior Manager, Generative Artificial Intelligence role at BMO.

This is a Hybrid role in Toronto.

Take your career to a new level by joining the Data and Analytics Centre of Excellence (DACoE), whose mission is to drive top‑tier growth, profit, and customer experience in Canadian Personal & Business Banking through data and analytics. We transform information into insight, arm partners with facts, automate workflows, and drive the business forward.

We enable and accelerate our partners on their data science and AI journeys, helping teams across BMO unlock value  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.

• Automates complex business processes end‑to‑end
• Optimizes operational workflows for advisors and customers
• Powers autonomous agents that free teams from repetitive, manual tasks

• Act as a thought leader and advocate for GenAI, automation, and agentic AI, engaging senior executives and business partners.
• Lead discovery with stakeholders to identify AI opportunities in servicing, operations, compliance, and business processes.
• Design and develop GenAI solutions that include data ingestion, pre-processing, search and retrieval, Retrieval Augmented Generation (RAG), fine‑tuning and prompt engineering.
• Design and implement AI solutions that integrate process automation, orchestration layers, RPA/IPA, and agentic models into enterprise workflows.
• Prototype and scale autonomous assistants that streamline end‑to‑end journeys.
• Build and automate pipelines for LLMOps, ensuring continuous delivery, monitoring, evaluation, and guardrails for responsible AI.
• Collaborate with product teams, business stakeholders, ML/AI Ops, and engineering to operationalize automation use cases that drive measurable efficiency gains.
• Lead adoption of AI‑enhanced engineering practices—from code generation to automated testing, workflow optimization, and knowledge grounding.
• Write and maintain comprehensive documentation for governance, compliance, and process transparency.

• Bachelor’s/Master’s in Computer Science, Engineering, Mathematics, or related field.
• Hands‑on experience with information retrieval, semantic search, and RAG pipelines.
• Strong background in automation technologies (workflow orchestration, RPA/IPA tools, agent frameworks, or business process management).
• Experience identifying and re‑engineering manual workflows using AI and automation.
• Knowledge of LLM development, fine‑tuning, and prompt engineering.
• Familiarity with agent‑based architectures or multi‑agent systems (Lang Chain agents, Auto Gen, CrewAI, etc.).
• Strong programming skills (Python, Java, Type Script, C#).
• Experience with cloud‑native environments (AWS, Azure, or GCP).
• Git Hub Copilot experience is a strong plus.
• Excellent communication and collaboration skills, with experience leading cross‑functional automation or AI initiatives.

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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 by pay type 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:

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