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Cybersecurity Principal Engineer – AI Cloud Security
Truist. Responsible for leading, developing and maintaining the technical IT/cyber security capabilities necessary for safeguarding the firm's information systems.
Tech Stack
Tools & technologiesAWSAzureCloudCyber SecurityLinuxTerraformUnix
About the role
Key responsibilities & impact- Responsible for leading, developing and maintaining the technical IT/cyber security capabilities necessary for safeguarding the firm's information systems.
- 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.
- 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.
- 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.
- 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.
- Implement and integrate cloud security tooling (e.g., Wiz) to provide visibility and control over AI assets.
- Partner with AI platform teams, application engineers, cloud security, and governance stakeholders to embed security into AI delivery.
Requirements
What you’ll need- 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
- Experience working in regulated environments with strong risk and governance requirements.
Benefits
Comp & perks- medical
- dental
- vision
- life insurance
- disability
- accidental death and dismemberment
- tax-preferred savings accounts
- 401k plan
- no less than 10 days of vacation
- 10 sick days
- paid holidays
- defined benefit pension plan
- restricted stock units
- deferred compensation plan
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
information securitycyber securityencryptiondata securityapplication securityidentity and access managementcloud securityinfrastructure as codeCI/CD pipelinesAI security controls
Soft Skills
leadershipstrategic planningcollaborationrisk managementcommunication