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Truist

Senior AI Security Engineer

Truist

Senior AI Security Engineer at Truist, responsible for ensuring AI systems security through design and implementation of security controls. Collaborating with cross-functional teams to enforce AI protection policies and procedures.

Posted 7/21/2026full-timeCharlotte • North Carolina • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in security engineering for AI systems, focusing on implementing security controls, threat modeling, and managing cloud security technologies. Proficient in collaborating with cross-functional teams to ensure robust security practices throughout the software development lifecycle.

Highest-signal resume keywords
Security EngineeringCloud Security (Azure/AWS)Threat ModelingInfrastructure as Code (Terraform/CloudFormation)CI/CD Pipeline Management (GitLab)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Cybersecurity PrinciplesSecurity TestingPenetration TestingSoftware Development Lifecycle SecurityAdversarial Testing
Soft Skills
Written CommunicationCollaboration
Tools & Technologies
Microsoft PurviewMicrosoft SentinelWizTerraformCloudFormation
Industry Keywords
AI Security ControlsPrompt Injection MitigationContent Safety ControlsInformation Security Technologies

Tech Stack

Tools & technologies
AWSAzureCloudCyber SecurityTerraform

About the role

Key responsibilities & impact
  • Help design, implement, test, and operate the controls that keep enterprise AI systems safe
  • Focus on security engineering foundations required for AI-enabled applications, agents, and tool-integrated automations
  • Implement security controls for AI and agentic systems and validate configurations
  • Support adversarial test preparation and build monitoring logic
  • Collaborate with AI platform teams, application engineers, cloud security, and governance stakeholders

Requirements

What you’ll need
  • Bachelor’s degree or equivalent education, training, and work-related experience
  • Minimum of 7 years of experience in security engineering or related cybersecurity roles
  • Deep specialized knowledge in cybersecurity principles, theories, and concepts
  • Proven experience in software development lifecycle security practices
  • Deep knowledge of threat modeling, security testing, and penetration testing
  • Experience implementing and managing complex information security technologies
  • Strong hands-on experience with Azure and/or AWS
  • Infrastructure as Code experience with Terraform and CloudFormation
  • Experience building and managing CI/CD pipelines (GitLab)
  • Experience implementing or operating cloud security tooling (e.g., Microsoft Purview, Sentinel, Wiz or equivalent)
  • Familiarity with AI-specific security controls, such as Prompt injection mitigation, Content safety / moderation controls
  • Ability to work with engineering teams to translate security concerns into implementable guardrails, validations, and release controls.
  • Strong written documentation and communication skills, especially for controls, findings, remediation evidence, and technical guidance.

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • 10 days paid vacation
  • 10 sick days
  • Paid holidays