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Principal AI Security Engineer

Truist
United Statesfull_timeVerifiedPosted 19 May 2026

About the role

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Regular or Temporary:

Regular

Language Fluency:  English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

***This role is 5 days a week in the Charlotte Office***

The Principal AI Security Engineer is a senior production security engineer responsible for securing AI‑enabled systems across their full lifecycle—from design and development through deployment and production operation.

This role focuses on AI‑specific threat models, including prompt injection, unsafe outputs, tool‑use abuse, data leakage, identity misuse, workflow escalation risk, and emergent agent behavior. The engineer designs and enforces guardrails that allow AI capabilities to operate safely within enterprise boundaries without slowing delivery.

Daily work includes embedding security controls into agentic workflows, validating AI deployments against Forge security standards, supporting adversarial testing and red‑team exercises, building monitoring and detection content, and partnering with engineering teams to remediate risks before and after release.

This is a hands‑on senior role requiring deep judgment, strong engineering execution, and the ability to balance safety, reliability, and delivery speed.

***For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)***

ESSENTIAL DUTIES AND RESPONSIBILITIES

Following is a summary of the essential functions for this job.  Other duties may be performed, both major and minor, which are not mentioned below.  Specific activities may change from time to time. 

AI Security Engineering 

  • Design, implement, and operate security controls for AIenabled applications, agents, prompts, tools, and workflows. 

  • Define and enforce guardrails that mitigate prompt injection, unsafe responses, unauthorized tool execution, and data exposure. 

  • Review AI architectures, workflows, and integrations to identify and reduce security risk before deployment. 

Runtime Controls & Monitoring 

  • Build and maintain monitoring, logging, and alerting for AI systems, including prompt behavior, tool invocation, output patterns, and workflow execution. 

  • Implement detection content for suspicious or policyviolating AI behavior. 

  • Support incident response and investigation for AIrelated security events. 

Governance & Release Readiness 

  • Partner with engineering, QA, and platform teams to ensure AI solutions meet Forge deployment and security gate requirements. 

  • Validate

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Company

Truist

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