AI Security Engineer: Guardrails & Identity

Plaid

Seattle (WA)

On-site

USD 189,000 - 243,000

Full time

3 days ago
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Benefits offered by this job

Equity
Commission
Medical, dental, vision

Job summary

Plaid is seeking the Platform Security team’s first line of defense on AI security in Seattle. You’ll review new AI technologies to identify security risks before they ship and design controls that close those gaps.

You’ll build guardrails, identity management, and detection systems that let Plaid use AI aggressively without increasing risk, partnering with product and security teams to scale safe AI deployment.

Qualifications

  • Hands-on experience securing AI technologies.
  • Experience deploying guardrails or sandboxes.
  • Experience managing AI identities.
  • Ability to detect or mitigate prompt injection.
  • Experience running AI security reviews.
  • Familiarity with AI security tooling.

Responsibilities

  • Review AI systems and integrations for security risk before and after deployment.
  • Design and deploy guardrails, sandboxes, and other controls that contain what AI agents can do.
  • Build or implement systems to track and manage AI identities, so we know what access every AI has been granted and can balance risk with agility.
  • Detect and mitigate prompt injection across Plaid's AI surface area.
  • Run AI-focused security reviews and set the bar other teams build to.
  • Your impact: fewer AI-related incidents, faster AI shipping, and controls that scale.

Skills

AI security
Guardrails / Sandboxes
AI identities management
Prompt injection detection
AI security reviews
Security tooling for AI

Job description

Plaid is seeking the Platform Security team’s first line of defense on AI security in Seattle. You’ll review new AI technologies to identify security risks before they ship and design controls that close those gaps.

You’ll build guardrails, identity management, and detection systems that let Plaid use AI aggressively without increasing risk, partnering with product and security teams to scale safe AI deployment.

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