M365 Copilot Engineer - REMOTE

Overview
Final date to receive applications: 02/19/2026

Address: 4100 Gordon Baker Road

Job Family Group:
Technology

Designs, builds, deploys, and maintains enterprise integration of Microsoft 365 Copilot services (Copilot for Work/Web, Copilot Studio, Copilot for Azure, Security Copilot, etc.) into BMO’s IT infrastructure. Ensures these AI-powered systems function efficiently, securely, and seamlessly alongside existing technology. Applies in-depth experience with cloud and on-premises infrastructure to plan and coordinate the rollout of Copilot solutions, with robust security controls and disaster recovery options in place.

Responsibilities

Develops and tests  connectors  for internal tools and data sources to extend Copilot capabilities; vets new Copilot and agentic features/integrations in a controlled environment  before  enterprise rollout, ensuring they meet security and performance standards.

Manages Copilot Studio access and coordinates  proof-of-concept (PoC)  activities for emerging Copilot technologies, collecting feedback and refining solutions prior to broad deployment.

Ensures  endpoint readiness  (e.g. verifies Netskope configurations, Windows 11 compatibility, 64-bit Office support) so that user devices and networks can fully support Copilot features.

Collaborates with enterprise architecture and risk teams (ARC) and engineering on secure vetting of  Azure Copilot  and  Security Copilot  features, validating compatibility and compliance with BMO’s requirements for deployment.

Researches and acts on Azure Advisor recommendations to improve cloud performance, reduce costs, and enhance security posture; proposes actionable improvements to optimize Copilot services based on these insights.

Develops and leverages AI-driven automation tools (e.g. an  AI “shell” using Azure CLI ) to create internal solutions that streamline Azure operations and support BMO’s cloud automation initiatives.

Monitors and manages the security posture of Copilot services, proactively preventing policy conflicts and mitigating risks associated with integrating new AI capabilities into the environment.

Identifies performance-impacting policies or configurations and suggests enhancements to improve system efficiency and user experience for Copilot-enabled services.

Acts as the primary technical liaison between the Copilot integration team and other IT teams, vendors, and partners – collaborating to design solutions and resolve complex issues related to Copilot and M365 services.

Diagnoses complex issues across network, cloud, or application layers (e.g. latency, integration errors) and implements corrective solutions to ensure high availability of Copilot features.

Manages and coordinates the release of Copilot-related changes into production, following standardized change management procedures to minimize risk to existing services.

Creates release plans, test and validation strategies, and schedules/tracking tools to ensure smooth deployment of Copilot updates and new integrations with minimal disruption.

Evaluates the effectiveness of current systems and integration approaches, and assists in developing improvement strategies for Copilot and related services based on findings.

Qualifications

Foundational

- Network routing, switching, and security

- Configuration management

- Systems administration

- Scripting languages (e.g. Power Shell, Python)

- IT infrastructure library (ITIL) basics

- Root cause analysis and troubleshooting

- Cloud computing fundamentals

- Cybersecurity and privacy principles

- IT automation mindset (Digital First)

- Building and managing relationships

- Adaptability and continuous learning

Intermediate

- Network routing, switching, and security (intermediate proficiency)

- Virtualization and virtual machines

- Operating systems & platforms (Windows/Linux)

-  Microsoft 365 and Azure cloud platform administration

- Infrastructure as Code (IaC) practices

- Quality assurance and control processes

-  Identity and access management (e.g. Azure AD/Entra )

- Containerization (e.g. Docker, Kubernetes)

- Continuous improvement management

Advanced

- Hardware infrastructure (advanced knowledge)

- Version control systems (e.g. Git)

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