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Staff Engineer, AI Security
EQ Bank | Equitable Bank. Lead the design, implementation, and operation of security controls for AI, generative AI, machine learning, AI agents, copilots, automation platforms, orchestration frameworks, model providers, and supporting cloud services .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expert-level knowledge of AI and cloud security controls, with a strong understanding of generative AI risks and security practices. Capable of developing and implementing security controls, automation, and compliance measures in enterprise AI environments.
Highest-signal resume keywords
AI And Cloud Security ControlsGenerative AI Security RisksSecurity Control ImplementationPython Or PowerShell AutomationNIST AI RMF Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cyber SecuritySoftware EngineeringCloud EngineeringSecurity Control DesignApplication SecurityAPI SecurityIAMEncryptionSecure Software DevelopmentIncident Response
Soft Skills
Analytical SkillsProblem-Solving SkillsInfluencing Technical Decisions
Tools & Technologies
CI/CD PipelinesInfrastructure-as-CodeContainersCloud-Native Technologies
Certifications & Qualifications
CISSPCCSPGIACMicrosoft Azure Security EngineerGoogle Professional Cloud Security Engineer
Industry Keywords
AI GovernanceRisk ManagementSecurity MonitoringLoggingDetectionAdversarial TestingAI Supply Chain RiskModel IntegrationsOrchestration FrameworksTechnical Documentation
Tech Stack
Tools & technologiesAzureCloudCyber SecurityPython
About the role
Key responsibilities & impact- Lead the design, implementation, and operation of security controls for AI, generative AI, machine learning, AI agents, copilots, automation platforms, orchestration frameworks, model providers, and supporting cloud services
- Report to the Senior Director, Cyber Security Engineering & Operations
- Work as a fully dedicated, embedded security partner to the AI Centre of Enablement and Enterprise Technology, Data & AI organization
- Develop reusable security patterns, guardrails, control implementations, automation, and detection capabilities for enterprise AI adoption
- Partner with AI Centre of Enablement, AI Engineering, Data Engineering, Technology, Cyber, Architecture, Data, Engineering, and business teams
- Implement data protection, identity, access, model access, monitoring, and detection controls
- Review solution designs and provide guidance on risks, control gaps, and regulatory requirements
- Perform and support adversarial testing and prioritize remediation of security weaknesses
- Assess AI supply-chain risks involving models, plug-ins, agents, and third-party AI services
- Support AI governance, compliance, audit, and risk management activities
- Create technical documentation, standards, procedures, and implementation guidance
- Mentor engineers, architects, delivery teams, and technical and non-technical stakeholders
- Engage vendors and external partners to validate security capabilities
- Serve as a senior individual contributor with no direct reports
Requirements
What you’ll need- 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
- Experience designing, implementing, and supporting security controls in cloud-native and enterprise environments
- Strong understanding of generative AI, LLMs, AI agents, RAG, machine learning platforms, model integrations, and AI-enabled business solutions
- Strong understanding of AI-specific security risks, including prompt injection, sensitive information disclosure, data/model poisoning, insecure output handling, excessive agency, system prompt leakage, vector and embedding weaknesses, and AI supply chain risk
- Experience securing cloud platforms and services
- Experience securing enterprise AI platforms, copilots, coding assistants, model providers, orchestration frameworks, or agentic AI technologies
- Knowledge of application security, API security, IAM, secrets management, encryption, and secure software development
- Experience developing automation, integrations, or security tooling using Python or PowerShell
- Experience with CI/CD pipelines, Infrastructure-as-Code, containers, and cloud-native technologies
- Understanding of security monitoring, logging, detection, and incident response
- Working knowledge of NIST AI RMF, ISO/IEC 42001, OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST CSF, and CIS Controls
- Ability to review technical designs and provide practical security guidance
- Strong analytical and problem-solving skills
- Ability to influence technical decisions without direct authority
- Relevant certifications such as CISSP, CCSP, GIAC, Microsoft Azure Security Engineer, or Google Professional Cloud Security Engineer are an asset
- Candidates must successfully complete a criminal background check and credit check
Benefits
Comp & perks- Competitive discretionary bonus
- Market leading RRSP match program
- Medical, dental, vision, life, and disability benefits
- Employee Share Purchase Plan
- Maternity/Parental top-up
- Generous vacation policy and personal days
- Virtual events to connect with colleagues
- Professional development and comprehensive Career Development program
- Hybrid work arrangement
- Barrier-free recruitment process and work environment accommodations