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Truist

Senior Associate, AI Security Engineer

Truist

Senior Associate AI Security Engineer at Truist managing security protocols for AI and cloud environments. Focused on implementing robust security measures and compliance in AI systems across platforms.

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

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in engineering and deploying security controls for AI/ML systems, with a strong focus on Infrastructure as Code using Terraform and CloudFormation. Proficient in implementing cloud security tooling and managing CI/CD pipelines to ensure secure AI operations across AWS and Azure environments.

Highest-signal resume keywords
Security EngineeringInfrastructure as Code (IaC)Cloud Security ToolingCI/CD Pipeline ManagementAI/ML Security Controls

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Security EngineeringInfrastructure as Code (IaC)Cloud Security ToolingCI/CD Pipeline ManagementPython ScriptingAI/ML Security ControlsTechnical Security AssessmentsPrompt Injection MitigationContent Safety ControlsModel Access Controls
Tools & Technologies
TerraformCloudFormationGitLabAWSAzureWizMicrosoft PurviewSentinelECSEKS
Industry Keywords
Cybersecurity PrinciplesSoftware Development Lifecycle SecurityRegulated EnvironmentsRisk and Governance RequirementsAI Security Standards

Tech Stack

Tools & technologies
AWSAzureCloudCyber SecurityKubernetesPythonTerraform

About the role

Key responsibilities & impact
  • Engineer and deploy security controls for AI/ML and Generative AI systems, including model-level, data-level, and platform-level protections
  • Implement AI guardrails and safety controls (e.g., prompt injection defenses, content safety filters, policy enforcement, model access controls)
  • Support secure AI platform onboarding for internal teams, ensuring alignment with Truist AI Security Standards and Review Processes
  • Perform technical security assessments of AI systems and cloud-hosted AI services
  • Design and implement Infrastructure as Code (IaC) using Terraform and CloudFormation
  • Build and maintain CI/CD pipelines (GitLab) for security tooling, guardrails, and configuration-as-code
  • Automate operational workflows using Python and scripting to reduce manual security operations
  • Engineer secure, scalable cloud environments supporting AI workloads across AWS and Azure
  • Implement and integrate cloud security tooling (e.g., Wiz) to provide visibility and control over AI assets
  • Secure containerized and orchestrated workloads supporting AI pipelines (ECS, EKS, Kubernetes)
  • Partner with AI platform teams, application engineers, cloud security, and governance stakeholders to embed security into AI delivery
  • Contribute to the evolution of enterprise AI security standards, patterns, and reference architectures
  • Support incident response, threat modeling, and remediation activities related to AI systems

Requirements

What you’ll need
  • Bachelor’s degree or equivalent education, training, and work-related experience
  • Minimum of 3 years of experience in security engineering or related cybersecurity roles
  • Developing knowledge in cybersecurity principles, theories, and concepts
  • Experience in software development lifecycle security practices
  • Proficiency in implementing and managing information security technologies
  • 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)
  • Experience securing AI/ML or Generative AI systems in production environments
  • Familiarity with AI-specific security controls such as prompt injection mitigation, content safety/moderation controls, model access and usage restrictions, and secure data handling for AI pipelines
  • Exposure to Azure and Azure-hosted AI services.
  • Experience working in regulated environments with strong risk and governance requirements.

Benefits

Comp & perks
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Disability insurance
  • Accidental death and dismemberment insurance
  • Tax-preferred savings accounts
  • 401k plan
  • Paid vacation time
  • Paid sick days
  • Paid holidays