Ai Agent Engineer

100 King Street West Toronto Ontario,M5X 1A1

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, 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 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.

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.