Current jobs related to Ai Agent Engineer - Toronto, Ontario - BMO
-
Ai Agent Engineer
2 weeks ago
Toronto, Ontario, Canada BMO Full time $103,200 - $192,000Application Deadline:11/29/2025Address:100 King Street West Job 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 Execution Squads Role OverviewThe AI Agent Engineer is...
-
Senior Agentic AI Engineer
2 weeks ago
Toronto, Ontario, Canada Behavox Full timeAbout Behavox Behavox is shaping the future for how businesses harness their most important raw material - data. Our mission is bold: Organize enterprise data into actionable information that protects and promotes the business growth of multinational companies around the world. From managing enterprise risk and compliance to maximizing revenue and value,...
-
AI Agent Deployment Engineering Manager
1 week ago
Toronto, Ontario, Canada MAGICAL Full timeAI Agent Deployment Engineering ManagerReports to: Head of Deployment / ProductMagical's agentic AI platform brings AI Agents into the workplace to take over repetitive, soul-crushing workflows that slow teams down. Our customers, especially in healthcare, use Magical to automate high-stakes, high-complexity processes.The shift to agentic work is...
-
AI Agent Deployment Engineering Manager
2 weeks ago
Toronto, Ontario, Canada Magical Full timeAI Agent Deployment Engineering ManagerTeam size scaling: 8 today → ~25 by end of 2026Reports to: Head of Deployment / ProductMagical's agentic AI platform brings AI Agents into the workplace to take over repetitive, soul-crushing workflows that slow teams down. Our customers—especially in healthcare—use Magical to automate high-stakes, high-complexity...
-
AI Agent Deployment Engineering Manager
1 week ago
Toronto, Ontario, Canada Magical Full timeReports to:Head of Deployment / ProductMagical's agentic AI platform brings AI Agents into the workplace to take over repetitive, soul-crushing workflows that slow teams down. Our customers, especially in healthcare, use Magical to automate high-stakes, high-complexity processes.The shift to agentic work is accelerating, and we're leading it. Our AI...
-
AI Agent Deployment Engineering Manager
1 week ago
Toronto, Ontario, Canada Magical Full timeAI Agent Deployment Engineering Manager Reports to: Head of Deployment / Product Magical's agentic AI platform brings AI Agents into the workplace to take over repetitive, soul-crushing workflows that slow teams down. Our customers, especially in healthcare, use Magical to automate high-stakes, high-complexity processes. The shift to agentic work is...
-
Machine Learning Engineer
4 days ago
Toronto, Ontario, Canada Boson AI Full timeAbout Boson AI: At Boson AI, we are not just building AI solutions; we are pioneering the future of enterprise AI. Driven by a passion for cutting-edge AI research, particularly in the transformative areas of large language models and agentic systems, our mission is to tackle the most complex real-world problems for businesses and unlock significant value....
-
AI Software Engineer, AI Apps and Agents
1 week ago
Toronto, Ontario, Canada Paradox Full timeYour work days are brighter here.We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel...
-
Senior Agentic AI Developer
3 days ago
Toronto, Ontario, Canada MindBridge Full timeMindBridge is the global leader in AI-powered financial risk intelligence. Our platform, MindBridge AI is enabling finance and audit professionals to build the AI-powered finance department of the future. With over 120 billion financial transactions analyzed with MindBridge's AI, we set the standard for innovation, scalability, and customer satisfaction.At...
-
AI Engineer
1 week ago
Toronto, Ontario, Canada TD Full timeAbout The CompanyTD Bank Group is one of the world's leading financial institutions, renowned for its commitment to delivering exceptional customer service and innovative banking solutions. As the fifth-largest bank in North America by branches and assets, TD serves over 27 million households and businesses across Canada, the United States, and international...
Ai Agent Engineer
2 weeks ago
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
- 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, $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:
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
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.