Senior Manager, Generative Artificial Intelligence

BMO; Toronto; Hybrid; CAD 103,200 - 192,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Accident and life insurance

Retirement savings plans

Job summary

BMO Financial Group in Toronto is seeking a Senior Manager of GenAI to lead automation-first AI initiatives and shape next-gen AI solutions. You’ll work with data, analytics, and engineering teams to drive end-to-end automation, RAG pipelines, and scalable AI deployments across the enterprise.

You'll collaborate with product partners and ML/AI Ops, shaping strategy, governance, and pragmatic AI adoption while advancing responsible, compliant AI practices within a hybrid work environment.

Qualifications

• 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).
• GitHub Copilot experience is a strong plus.
• Excellent communication and collaboration skills, with experience leading cross-functional automation or AI initiatives.

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.

Skills

GenAI

LLM development

Python

Cloud platforms

Education

Bachelor's/Master’s in CS/Engineering

Tools

LangChain

CrewAI

GitHub Copilot

Job description

This is a hybrid role in Toronto

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.

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.

Qualifications

• 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).


• GitHub Copilot experience is a strong plus.


• Excellent communication and collaboration skills, with experience leading cross-functional automation or AI initiatives.

Salary

$103,200.00 - $192,000.00

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.