Cybersecurity Engineer (AI Cloud Security)

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). 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 Charlotte or Atlanta Office*** The Cybersecurity Engineer (AI Cloud Security) is part of Truist’s AI Security Engineering function and is responsible for designing, engineering, deploying, and operating security controls for AI, ML, and Generative AI systems across cloud platforms. This role focuses on hands on engineering, enabling secure AI usage through cloud-native security controls, automation, and infrastructure as code, and operationalizing enterprise AI security standards. Engineers in this role work closely with AI platform teams, cloud engineering, governance, and risk partners to ensure AI systems are secure by design, compliant by default, and scalable across the enterprise. Designs advanced technical and cybersecurity capabilities across all phases of the software development lifecycle, including threat modeling, security testing, and penetration testing. Plans, builds, and enhances cybersecurity technologies by baselining systems, analyzing trends, and preparing for future requirements to deliver reliable, scalable, and secure technology solutions with significant impact on the job area. 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 & Cloud Security Engineering 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. Infrastructure as Code & Automation Design and implement Infrastructure as Code (IaC) using Terraform and CloudFormation to deploy AI security controls consistently. 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. Cloud Platform Security 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). Collaboration & Enablement 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. Required Qualifications The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor’s degree or equivalent education, training, and work-related experience. Minimum of 5 year