Senior Manager, Generative Artificial Intelligence

BMO•Toronto, ON

1d•CA$103,200 - CA$192,000•Hybrid

About The Position

Take your career to a new level by joining the Data, AI, Transformation and Analytics (D.A.T.A) team, whose mission is to drive top-tier growth, profit, and customer experience in Canadian Personal & Business Banking through data and advanced analytics. We transform information into insight, arm partners with facts, automate workflows, and drive the business forward. 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 As the Senior Manager of GenAI, 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.

Requirements

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 (LangChain agents, AutoGen, CrewAI, etc.).
Strong programming skills (Python, Java, TypeScript, C#).
Experience with cloud-native environments (AWS, Azure, or GCP).
Excellent communication and collaboration skills, with experience leading cross-functional automation or AI initiatives.

Nice To Haves

GitHub Copilot experience is a strong plus.

Responsibilities

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 (Intelligent Process Automation), 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.