Cybersecurity Principal Engineer – AI Cloud Security
Truist
full-time
Posted on:
Location Type: Office
Location: Atlanta • North Carolina • Virginia • United States
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Job Level
About the role
- Responsible for leading, developing and maintaining the technical IT/cyber security capabilities necessary for safeguarding the firm's information systems
- 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 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
- 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
- Bachelor’s degree and 10 years of experience in systems engineering or an equivalent combination of education and work experience
- Strong functional and technical knowledge of information/cyber security capabilities with deep expertise in one or more of the following areas: Encryption, Data Security, Application Security, End Point Security, Identity and Access Management, Windows/Unix/Linux Systems Security, Mainframe Security, Perimeter Security, Network Security, Mobility Security, Cloud Security, Cyber Security, Cryptography, or Authentication Systems
- Strong understanding of service lifecycle management, strategic planning, and the cyber security landscape
- 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)
- 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, 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
- medical
- dental
- vision
- life insurance
- disability
- accidental death and dismemberment
- tax-preferred savings accounts
- 401k plan
- vacation (minimum of 10 days)
- sick days (10 days)
- paid holidays
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI securitycyber securityencryptiondata securityapplication securityidentity and access managementcloud securityInfrastructure as CodeCI/CD pipelinesscripting
Soft Skills
leadershipstrategic planningincident responsethreat modelingcollaboration