Senior AI Security Engineer — Cloud & Data Protection

Eqbank; Toronto; Hybrid; CAD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive discretionary bonus

RRSP match program

Medical, dental, vision, life, and dis

Disability benefits

Employee Share Purchase Plan

Maternity/Parental top‑up

Generous vacation and personal days

Virtual events

Career development program

Job summary

EQ Bank is seeking a Senior AI Security Engineer to lead design, implementation, and operation of security controls for AI platforms, copilots, and ML environments. You will partner with AI Enablement and Enterprise Technology teams to embed security throughout the delivery lifecycle.

You will design reusable guardrails, automation, and detection capabilities to prevent data leakage and model misuse while guiding teams toward secure patterns and compliant practices.

Qualifications

• A college diploma or university degree in computer science, engineering, information security, or a related technical field is required.
• 7-9 years of experience in cyber security, software engineering, cloud engineering, or platform engineering, including a minimum of 4 years in a cyber security role.
• Expert level knowledge of AI and cloud security controls, sufficient to act as the internal subject matter expert others rely on for direction.
• Experience designing, implementing, and supporting security controls within cloud-native and enterprise technology environments.
• Strong understanding of AI technologies, including generative AI, large language models, AI agents, retrieval-augmented generation, machine learning platforms, model integrations, and AI-enabled business solutions.
• Strong understanding of AI-specific security risks, including prompt injection and indirect prompt injection, data leakage risks, and AI supply chain risk.
• Experience securing cloud platforms and services, preferably Microsoft Azure; experience with GCP or OCI is an asset.
• Strong knowledge of application security, API security, IAM, secrets management, encryption, and secure SDLC practices.

Responsibilities

• Design, implement, and operate security controls for AI platforms, generative AI solutions, AI agents, ML environments, and supporting cloud services.
• Partner with cross-functional teams to embed security requirements into AI solutions across the delivery lifecycle.
• Build and automate AI security guardrails and policy enforcement across AI technologies and services.
• Support security assessment and enablement for major AI platforms and services.
• Implement data protection controls for AI training, grounding, and inference in partnership with governance teams.
• Configure and maintain identity, access, and model access controls for AI platforms and integrations.
• Develop and maintain security standards, patterns, and guidance for secure AI adoption.
• Review designs and provide practical security guidance to address risks and regulatory requirements.
• Mentor engineers and delivery teams on practical AI security patterns.

Skills

AI security

Cloud security

Security controls

Automation tooling

Security patterns

CI/CD & IaC

Security monitoring

Security governance

Education

Diploma or degree in CS/Engineering/Info Security

Tools

Python

PowerShell

Job description

EQ Bank is seeking a Senior AI Security Engineer to lead design, implementation, and operation of security controls for AI platforms, copilots, and ML environments. You will partner with AI Enablement and Enterprise Technology teams to embed security throughout the delivery lifecycle.

You will design reusable guardrails, automation, and detection capabilities to prevent data leakage and model misuse while guiding teams toward secure patterns and compliant practices.