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SENIOR SECURITY ENGINEER - hybrid (3 days onsite)

CalanceMontreal, QC🇺🇸United StatesPosted 10 Sept 2026

Why This Role Stands Out

This hybrid role offers a unique opportunity to be at the forefront of AI security, building and implementing critical technical controls for a global financial leader. You'll thrive here if you possess a strong background in security engineering with AI-specific experience, eager to develop innovative solutions and contribute to cutting-edge detection strategies. Join a dynamic team and advance your career in a role that blends hands-on engineering with significant impact.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Montreal, QC, United States
Posted
Yesterday

Job Description

SENIOR SECURITY ENGINEER

5+ years experience

Our client, a global financial services firm, is seeking a Senior Security Engineer to build and implement the technical controls that support an enterprise AI Agent Security program. This is a hands on engineering role focused on implementation, integration, and detection engineering, working under the direction of the Lead AI Security Engineer. AI security experience is required for this role.

Responsibilities
Implement segmentation and policy enforcement controls across endpoint, data center, cloud, and containerized environments, following the approved architecture
Configure and deploy Cisco Hypershield and Cisco AI Defense controls (or comparable approved platforms) as part of the segmentation and enforcement design
Build integrations between security tooling and SIEM, incident management, identity, and telemetry pipelines
Develop AI specific detection content, SOC use cases, triage guidance, and escalation criteria covering anomalous agent behavior, unauthorized model or tool access, credential abuse, lateral movement, and prompt manipulation attempts
Execute testing, validation, and rollback procedures for each enforcement change
Produce configuration and operating documentation, and contribute to runbooks and administrator guides
Support operational onboarding of new capabilities into SOC workflows
Partner with the Lead AI Security Engineer on architecture execution and provide input on design decisions

Qualifications
5+ years in security engineering, with hands on experience in segmentation, detection engineering, and SIEM or SOC integration
Required experience securing AI agents or AI workloads, including runtime telemetry analysis
Experience configuring or operating Cisco Hypershield, Cisco AI Defense, or similar enterprise segmentation and AI security platforms
Experience with cloud and container security controls
Strong documentation and testing discipline

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