Senior AI Security Engineer: Build Guardrails & Safeguards

Backblaze

Argentina

Presencial

ARS 271.641.000 - 452.735.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

Backblaze is seeking a Senior AI Security Engineer to design and implement safeguards for internal AI usage, focusing on agentic systems, developer protection, and runtime security. This hands-on role requires building enforcement layers, identity controls, and detection capabilities to constrain and monitor AI-driven activity.

You will work on guardrails for AI systems, runtime enforcement, and non-human identity controls, ensuring actions are attributable and auditable across tools and

Formación

  • 7+ years in security engineering or backend systems.
  • Proven design and deployment of security controls (runtime enforcement layers, proxies, middleware).
  • Experience with identity and access for non-human entities (NHI).
  • Familiar with AI-assisted development tools and secure design practices.

Responsabilidades

  • Design and implement safeguards for internal AI usage.
  • Develop guardrails for tool-using AI systems and enforcement layers.
  • Build observability and detection for AI activity (logging, tracing, anomaly detection).
  • Perform agentic system threat modeling (MAESTRO) and translate findings into safeguards.

Conocimientos

Security engineering
Backend systems
Python
Go
Java
TypeScript
AI security
Security controls
Observability
Threat modeling

Herramientas

Claude Code
Codex
Cursor
OpenTelemetry
ELK

Descripción del empleo

Backblaze is seeking a Senior AI Security Engineer to design and implement safeguards for internal AI usage, focusing on agentic systems, developer protection, and runtime security. This hands-on role requires building enforcement layers, identity controls, and detection capabilities to constrain and monitor AI-driven activity.

You will work on guardrails for AI systems, runtime enforcement, and non-human identity controls, ensuring actions are attributable and auditable across tools and

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