AI Infrastructure Security Engineer

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About the role

  • AI Infrastructure Security Engineer assessing AI deployment architectures and conducting security testing. Collaborating with engineering teams to ensure AI products meet enterprise security standards.

Responsibilities

  • Review and assess AI deployment architectures across cloud environments
  • Conduct infrastructure-level security testing for API exposure
  • Conduct infrastructure-level security testing for Authentication & authorization controls
  • Conduct infrastructure-level security testing for Secrets and key management
  • Conduct infrastructure-level security testing for Data encryption in transit and at rest
  • Conduct infrastructure-level security testing for Logging and monitoring configurations
  • Evaluate RAG pipelines, vector databases, and embedding workflows
  • Identify vulnerabilities across model hosting environments
  • Identify vulnerabilities across containerized deployments
  • Identify vulnerabilities across CI/CD pipelines
  • Identify vulnerabilities across third-party integrations
  • Partner with engineering and security teams to validate remediations
  • Align findings to enterprise security frameworks where applicable
  • Produce structured documentation suitable for internal security and compliance teams

Requirements

  • Strong background in cloud security (AWS, Azure, or GCP)
  • Experience securing API-based systems
  • Knowledge of container security (Docker, Kubernetes)
  • Familiarity with identity and access management models
  • Experience with encryption standards and key management
  • Strong understanding of DevSecOps principles
  • Exposure to AI/ML deployment environments
  • Familiarity with LLM API architectures
  • Familiarity with RAG systems
  • Familiarity with vector databases
  • Understanding of data governance within AI workflows
  • Experience working within ISO 27001 or SOC 2 environments
  • Understanding of cloud security control frameworks (ISO 27017 helpful)
  • Ability to communicate findings clearly to both engineering and governance teams

Benefits

  • Comprehensive Private Medical Coverage
  • Support for Mental Health Expenses
  • Life Insurance Options
  • Attractive Compensation Package

Job type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

AWSAzureCloudDockerGoogle Cloud PlatformKubernetes

Location requirements

HybridVancouverCanada

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