Ai Agent Engineer

BMO Financial Group; Toronto; On-site; CAD 103,000 - 192,000; Full time

Job summary

A financial services firm in Toronto seeks an AI Agent Engineer responsible for designing and optimizing intelligent agents to enhance workflows and operational efficiency. The ideal candidate will have a strong background in AI/ML, agent frameworks, and experience with various programming tools and cloud platforms. This role requires collaboration with product managers and compliance teams to deliver impactful solutions while adhering to regulations. A competitive salary range of $103,200 to $192,000 is offered, along with a comprehensive benefits package.

Benefits

Health insurance

Tuition reimbursement

Accident and life insurance

Retirement savings plans

Qualifications

• 3+ years in AI/ML engineering, agent development, or software engineering.
• Hands-on experience with prompt engineering, LLM fine-tuning, model quantization.
• Experience with multi-agent systems or reinforcement learning is an asset.

Responsibilities

• Architect and prototype intelligent agent solutions.
• Work with Technology teams to deploy and maintain GenAI-powered applications.
• Create and maintain thorough technical documentation and training materials.

Skills

Python

FastAPI

Flask

Node.js

LangChain

LangGraph

OpenAI APIs

PyTorch

TensorFlow

Docker

Kubernetes

RESTful APIs

Education

Bachelor’s or Master’s in Computer Science, Engineering, or related field

Tools

Azure

AWS

GCP

GitHub Actions

Azure DevOps

pytest

unittest

Confluence

Job description

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, Node.js (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

• Bachelor’s or Master’s 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

$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’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.