Cybersecurity Engineer – AI Cloud Security
Truist
full-time
Posted on:
Location Type: Office
Location: Atlanta • North Carolina • Virginia • United States
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About the role
- Responsible for developing and maintaining the technical IT/cyber security capabilities necessary for safeguarding the firm's information systems.
- Designing, engineering, deploying, and operating security controls for AI, ML, and Generative AI systems across cloud platforms.
- Focus on hands-on engineering, enabling secure AI usage through cloud-native security controls, automation, and infrastructure as code, and operationalizing enterprise AI security standards.
- 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.
- 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).
- 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.
- 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 and application engineers to embed security into AI delivery.
Requirements
- Bachelor’s degree and five years of experience in systems engineering or administration or an equivalent combination of education and work experience
- In-depth knowledge in applied enterprise information security technologies including but not limited to firewalls, intrusion detection/prevention systems, network operating systems, identity management, database activity monitoring, encryption, content filtering, and Mainframe security
- Previous experience in planning and managing IT projects
- 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, model access and usage restrictions, secure data handling for AI pipelines
- 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
- Minimum of 10 days of vacation
- 10 sick 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 securityML securityGenerative AI securityInfrastructure as CodeTerraformCloudFormationCI/CD pipelinesPythonscriptingcloud security
Soft Skills
collaborationproject managementrisk managementcommunicationproblem-solvinghands-on engineeringorganizational skillsattention to detailanalytical skillsleadership