Ai Agent Engineer

Bank Of Montreal

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profile Job Location:

Toronto - Canada

profile Monthly Salary: $ 103200 - 192000
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Application Deadline:

11/29/2025

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

AI Agent Engineer

Location: Toronto ON
Reports to: AI Engineering and Delivery Lead
Works with: Solution Architects Data Engineers Product Managers Business Stakeholders and cross-functional AI Execution Squads

Role Overview

The AI Agent Engineer is responsible for designing developing deploying and optimizing autonomous AI agents that enhance advisor workflows client engagement and operational efficiency within BMO Wealth. This role blends technical expertise in large language models (LLMs) agent orchestration frameworks and financial services domain knowledge to deliver intelligent scalable solutions. The successful candidate will demonstrate hands-on experience with prompt engineering agent safety and performance monitoring as well as strong collaboration and business acumen.

Key Responsibilities

  • Agent Development & Integration:
    • Architect and prototype intelligent agent solutions using frameworks such as LangChain LangGraph MS Copilot Studio AutoGen CrewAI ReAct and OpenAI APIs.
    • Build and optimize autonomous agents for multi-step tasks (e.g. financial planning client onboarding investment analysis).
    • Integrate agents with CRM portfolio systems and data platforms (e.g. Salesforce Microsoft Dynamics RESTful APIs).
    • Develop and maintain prompt engineering and LLM fine-tuning workflows for conversational and task-oriented agents.
  • Technical Implementation & Performance:
    • Work with Technology teams to deploy and maintain GenAI-powered applications on cloud platforms (Azure AWS) using containerization (Docker Kubernetes).
    • Implement monitoring logging and automated testing for agent solutions; conduct user simulations and performance evaluations.
    • Optimize agent workflows for scalability reliability and user experience.
    • Implement safety guardrails and compliance mechanisms to ensure responsible agent behavior.
  • Collaboration & Documentation:
    • Work closely with product managers compliance teams and Wealth SMEs to align solutions with business goals and regulatory standards.
    • Engage directly with business users to optimize agent capabilities for real-world impact.
    • Create and maintain thorough technical documentation demos and training materials to support adoption and scale of GenAI capabilities.
  • Continuous Improvement & Innovation:
    • Stay current with advancements in agentic AI LLMs multi-agent systems and financial technology.
    • Rapidly prototype experiment and iterate on agent capabilities to improve business outcomes.
  • Ethical Social and Regulatory Awareness:
    • Ensure all agent solutions comply with financial services and Enterprise AI governance regulations and ethical standards.
    • Proactively identify and manage risks associated with agent deployment including technical operational and reputational risks.

Required Skills & Tools

  • Programming: Python FastAPI Flask (JavaScript/TypeScript a plus)
  • Agent Frameworks: LangChain LangGraph AutoGen CrewAI ReAct MS Copilot Studio OpenAI APIs
  • ML/LLM Frameworks: PyTorch TensorFlow Hugging Face prompt engineering tools
  • Cloud Platforms: Azure AWS GCP; containerization (Docker Kubernetes)
  • Integration: RESTful APIs Salesforce Microsoft Dynamics
  • CI/CD: GitHub Actions Azure DevOps
  • Testing & Monitoring: pytest unittest logging frameworks agent evaluation tools
  • Documentation: Confluence GitHub
  • Security & Compliance: Familiarity with financial services regulations agent safety and secure coding practices

Qualifications

  • Bachelors or Masters in Computer Science Engineering or related field
  • 3 years in AI/ML engineering agent development or software engineering
  • Hands-on experience with prompt engineering LLM fine-tuning model quantization and agent orchestration frameworks
  • Experience with multi-agent systems or reinforcement learning is an asset
  • Certifications in Python Cloud (Azure/AWS/GCP) or equivalent are assets
  • Financial services or wealth management experience preferred
  • Demonstrated ability to collaborate with business users and cross-functional teams

Salary:

$103200.00 - $192000.00

Pay Type:

Salaried

The above represents BMO Financial Groups 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 Groups expected target for the first year in this position.

BMO Financial Groups 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: 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. Well 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 well help you gain valuable experience and broaden your skillset.

To find out more visit us at is committed to an inclusive equitable and accessible workplace. By learning from each others 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.


Required Experience:

Unclear Seniority

Application Deadline:11/29/2025Address:100 King Street WestJob Family Group:Data Analytics & ReportingAI Agent EngineerLocation: Toronto ONReports to: AI Engineering and Delivery LeadWorks with: Solution Architects Data Engineers Product Managers Business Stakeholders and cross-functional AI Executi...
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Key Skills

  • Computer Science
  • Continuous Integration
  • Fraud
  • Intake Experience
  • Law Enforcement
  • Usability
  • Analysis Skills
  • Computer Forensics
  • Driving
  • Teaching
  • Counterintelligence
  • Sass

About Company

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We cover the whole balance sheet, from foreign exchange, trade finance and treasury management to corporate lending, securitization, public and private debt and equity underwriting. Our team of experts can also provide a full range of advisory services, along with industry-leading res ... View more

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