AI Engineer

About the Role

As an AI Engineer, you will contribute to a multi-year initiative dedicated to advancing our digital-first, AI-powered business for enhanced value and future readiness. In this pivotal role, you will help shape and deliver agentic systems by integrating Large Language Models (LLMs) to orchestrate and automate business workflows, driving operational efficiency and optimizing user experiences. You will be hands-on in solution design, demonstrate engineering excellence, and provide technical leadership across high-impact capabilities, ensuring robust and scalable AI solutions for our organization.

Role Summary

• Drive the development of the “Agent Ecosystem” by designing, building, and operationalizing enterprise-grade AI agents and the orchestration layer that seamlessly coordinates their interactions.

• Serve as a player-coach, balancing hands-on engineering, building agent prototypes and platform components, with strategic guidance, including shaping product direction, advising on implementation best practices, and fostering a culture of technical excellence.

• Initially focus on creating foundational patterns and frameworks that can be leveraged across the broader agent development landscape, enabling scalability and reusability.

Key Responsibilities

• Design and implement an agent orchestration layer (routing, tool-calling patterns, workflow coordination, agent registry integration, state management, and failure/fallback strategies).

• Define and apply enterprise agent patterns (standard agent templates, reusable components, and orchestration controls).

• Establish observability/monitoring for agents and orchestrations: logging, tracing, drift detection signals, agent-specific metrics, and operational dashboards.

• Integrate Microsoft Azure services and Microsoft ecosystem components (with emphasis on Azure AI capabilities and “Foundry” experience where applicable).

• Partner with leadership to clarify expected outcomes/vision and translate them into an executable build plan, architecture decisions, and delivery milestones.

• Operate and support production grade AI solutions to meet availability, reliability, and performance expectation.

• Perform routine model, prompt, and configuration updates within approved change processes.

• Embed Applied AI Evals considerations into the platform: governance hooks, auditability, risk controls, and operational readiness for agents.

Required Qualifications

• 5-7 years of AI software engineering experience, with 3+ years in AI/ML engineering, AI agent development, multi-agent systems.

• Deep, hands-on experience across Microsoft Azure services (designing, deploying, and operating cloud-native systems). Certifications in Azure AI Engineer, python is a plus.

• Strong background in AI agent ecosystems (multi-agent patterns, orchestration concepts, agent registries, tool routing, memory/state, evaluation approaches).

• Demonstrated ability to implement monitoring/observability for AI/agent solutions (logging, tracing, metrics, and operational alerting).

• Proven delivery on multiple AI initiatives—comfortable shaping ambiguity into “the right questions,” crisp requirements, and practical design.

Preferred / “Nice to Have”

• Experience with Azure AI Foundry / Microsoft “Foundry” tooling in AI solution enablement and governance/tuning workflows.

• Experience with Applied AI Evals frameworks, agent governance standards, and operational controls in regulated or enterprise environments.

• Familiarity with agent taxonomy/labeling approaches and how to apply them to scale standardized development across teams.

• Background in designing enterprise-grade platform layers (identity, access controls, registry/source-of-truth patterns) for agents.

• Financial services or wealth management experience preferred.

Note

This is a hybrid position based in Toronto, with at least two to three days per week expected to be onsite in the office.

Salary

$75,900.00 - $141,900.00

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.

AI Researcher (intern)

About the Role

As a Research Intern, you will gain hands-on experience in both quantitative and qualitative research methodologies while developing professional skills in a dynamic and supportive environment. You will work closely with experienced professionals, receive mentorship from industry experts, and gain insight into how research informs business decisions.

The ideal candidate has a foundational knowledge of market research and is currently enrolled in a relevant program or is a recent graduate, eager to apply their knowledge in a real-world setting while gaining practical experience in research and data analysis.

Key Responsibilities

• Assist in the collection, analysis, and interpretation of data.

• Support ongoing market research reports

• Enter data and prepare reports and presentations summarizing research findings.

• Collaborate with senior researchers and project managers on various analytical tasks.

• Participate in team meetings and contribute to project brainstorming sessions.

Required Qualifications

• Currently enrolled in or recently graduated from a bachelor’s or master’s program in Computer Science, Statistics, or other STEM majors.

• Strong analytical and problem-solving skills.

• Proficient in Microsoft Office Suite, especially Excel.

• Experience with statistical software (e.g., SPSS, SAS) or programming languages (e.g., R, Python) is an asset

• Excellent communication and organizational skills.

• Ability to work independently and as part of a team.

Preferred / “Nice to Have”

• Analytical Skills: Ability to work with data, identify basic trends, and support the interpretation of research findings.

• Communication and Writing: Strong written and verbal communication skills to clearly present ideas, contribute to reports, and collaborate with team members.

• Organization and Time Management: Ability to manage tasks, stay organized, and meet deadlines in a fast-paced environment.

• Teamwork and Collaboration: Comfortable working with others, participating in discussions, and supporting team projects.

• Attention to Detail: Careful approach to data entry, analysis, and reporting to ensure accuracy and quality.

• Problem-Solving: Willingness to learn and find solutions when challenges arise during research tasks.

• AI & Digital Tools: Familiarity with AI tools (e.g., ChatGPT) and interest in using technology to support research, data analysis, and productivity.

Salary

$55,900.00 - $61,900.00