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About the Role

Establish and lead an engineering function within Network & Security Services focused on applying automation and AI to enhance network and security products, and building security controls for AI platforms. The goal is to improve service speed, consistency, reliability, and scalability while ensuring secure and responsible AI adoption.

Responsibilities

Establish and lead the Network & Security AI and Automation function, including its roadmap, delivery priorities, engineering standards, and long-term capability development.
Build and develop a team of technical practitioners, fostering software engineering discipline, continuous learning, collaboration, and accountability.
Partner with network and security product owners, engineering teams, and operations teams to identify and prioritize automation opportunities.
Deliver reusable automation for provisioning, configuration, testing, deployment, lifecycle management, and operational workflows across private and public cloud environments.
Establish Infrastructure as Code, API integration, orchestration, and DevSecOps practices.
Engineer AIOps capabilities that integrate telemetry and service context to improve observability, correlate events, detect anomalies, and support proactive issue detection and response.
Develop automated diagnostics and remediation with appropriate approvals, access controls, auditability, rollback, and human oversight.
Lead the engineering and integration of AI security tooling and controls within the Network & Security Services mandate.
Establish capabilities to discover AI services and agents, assess security posture, identify unmanaged AI use, and monitor access and activity across enterprise AI environments.
Engineer controls for AI platforms, applications, and agents, including secure connectivity, least-privilege access, data protection, policy enforcement, and restrictions on agent tools and actions.
Define support models, documentation, runbooks, and operational readiness requirements with delivery and operations partners.
Coordinate delivery across technology partners and vendors, aligning dependencies, platform integrations, and investment priorities.
Manage the function’s resources and tooling investments, balancing innovation and delivery with security, maintainability, cost, and long-term supportability.

Requirements

Post-secondary degree or diploma in information technology, computer science, engineering, or an equivalent combination of training and experience.
Significant experience delivering and supporting highly available enterprise network and security platforms, with demonstrated leadership of engineering teams and cross-functional initiatives.
Proven ability to establish or mature an automation capability, translating business priorities into a practical roadmap, reusable solutions, and sustainable operating practices.
Strong foundational knowledge of enterprise networking, security products, and private and public cloud infrastructure, including their integration and operational requirements.
Practical experience with Infrastructure as Code and configuration automation tools such as Terraform and Ansible, scripting or development languages such as Python or PowerShell, and API-based integrations.
Strong understanding of software engineering and DevSecOps practices, including source control, CI/CD pipelines, automated testing, secrets management, secure deployment, and rollback.
Experience with observability platforms, telemetry integration, event correlation, and operational analytics, with the ability to apply AI and machine learning to appropriate operational use cases.
Strong understanding of security for generative AI platforms, applications, and agents, including risks involving prompt injection, sensitive data exposure, excessive permissions, and unauthorized tool use.
Experience engineering and integrating enterprise security controls, with the ability to apply secure connectivity, identity and access controls, data protection, security posture management, and monitoring to AI environments.
Ability to translate AI security and governance requirements into technical controls, reusable implementation patterns, and operational capabilities.
Experience establishing production readiness, support ownership, documentation, and service management integration for engineering solutions.
Strong business acumen and the ability to prioritize investments, assess delivery trade-offs, manage vendor relationships, and demonstrate measurable value.
Proven ability to coach and develop technical practitioners and build effective relationships across engineering, operations, architecture, security, and risk teams.
Strong communication and influencing skills, with the ability to explain technical opportunities, dependencies, and risks to senior leaders and delivery partners.
Ability to adapt to an evolving technology landscape while maintaining disciplined engineering, secure implementation, and reliable service delivery.
Relevant professional certifications in cloud, networking, security, automation, or AI are an asset.
Experience in financial services or another regulated enterprise environment is an asset.

Skills

Automation
AI
AIOps
AI Security
Network Engineering
Security Engineering
Technical Leadership
Infrastructure as Code
API Integration
Orchestration
DevSecOps
Terraform
Ansible
Python
PowerShell
Observability Platforms
Telemetry Integration
Event Correlation
Operational Analytics
Machine Learning
Generative AI Security
Prompt Injection
Sensitive Data Exposure
Excessive Permissions
Unauthorized Tool Use
Secure Connectivity
Identity and Access Controls
Data Protection
Security Posture Management
Monitoring
Production Readiness
Support Ownership
Documentation
Service Management Integration
Vendor Relationship Management
Coaching
Relationship Building
Communication
Influencing

Location

Hybrid

Work Type

Permanent
Full Time

Experience Level

Director

Education Level

Post-secondary degree or diploma in information technology, computer science, engineering, or equivalent combination of training and experience.

Salary/Compensations

$150,000 - $180,000 annually

Benefits

Career Development Opportunities
Access to industry-leading learning programs
$2,000 annually towards education reimbursement
Flexible health and dental benefits
$5,000 mental health benefit
In addition to regular vacation and personal days
Volunteer day
Company-matching pension plan
Share ownership program
Additional investment options
Employee recognition programs
Service milestone celebrations
Employee discounts
Employee Resource Groups (ERGs)
Mentorship programs
Social clubs and events

About the Company

We are united by a shared purpose: to improve the financial, physical and mental well-being of Canadians.
Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country.
We’re looking for people who live our values everyday: we step up, do the right thing, and deliver – for our customers, communities and each other.

Equal Opportunity

We’re committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contact talentacquisitioncanada@canadalife.com. All information provided will be handled in accordance with applicable laws and Canada Life policies.
Canada Life would like to thank all applicants, however only those who qualify for an interview will be contacted.