Senior Associate, AI Security Engineer

Jobtailor; Charlotte (NC); On-site; USD 120,000 - 170,000; Full time

Job summary

Jobtailor in Charlotte, NC seeks a Security Engineer to design and deploy security controls for AI/ML systems, including guardrails and data/platform protections. You will implement IaC with Terraform and CloudFormation, and integrate CI/CD pipelines (GitLab) to secure AI workloads on AWS and Azure.

You will collaborate with platform teams, perform security assessments, and help evolve AI security standards in regulated environments.

Qualifications

• Bachelor’s degree or equivalent education, training, and experience.
• Minimum of 3 years in security engineering or related cybersecurity roles.
• Hands-on experience with Azure and/or AWS cloud platforms.
• Experience building and securing CI/CD pipelines and IaC-based deployments.
• Familiarity with AI/ML security controls and production safeguards.

Responsibilities

• Engineer and deploy security controls for AI/ML and Generative AI systems at model, data, and platform levels.
• Implement AI guardrails and safety controls (prompt injection defenses, content safety filters, policy enforcement).
• Support secure onboarding of AI platforms for internal teams per standards and review processes.
• Perform technical security assessments of AI systems and cloud-hosted AI services.
• Design and implement IaC using Terraform and CloudFormation, and build/maintain CI/CD pipelines (GitLab) for security tooling.
• Automate security operations with Python and scripting; secure, scalable cloud environments across AWS and Azure.
• Integrate cloud security tooling (Wiz, Purview, Sentinel) for visibility and control of AI assets.
• Secure containerized workloads (ECS, EKS) and Kubernetes-based AI pipelines; collaborate with platform teams and governance stakeholders.

Skills

Security Engineering

AI/ML Security

Infrastructure as Code (IaC)

Cloud Security Tooling

CI/CD Pipeline Management

Python Scripting

Threat Modeling

Regulated Environments

Model Access Controls

Education

Bachelor’s degree or equivalent

Tools

Terraform

CloudFormation

GitLab

AWS

Azure

Wiz

Microsoft Purview

Sentinel

ECS

EKS

Job description

• 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

• 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.

Core Competencies

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 Engineering
• Infrastructure as Code (IaC)
• Cloud Security Tooling
• CI/CD Pipeline Management
• AI/ML Security Controls

ATS Optimization Keywords

Hard Skills

• Security Engineering
• Infrastructure as Code (IaC)
• Cloud Security Tooling
• CI/CD Pipeline Management
• Python Scripting
• AI/ML Security Controls
• Technical Security Assessments
• Prompt Injection Mitigation
• Content Safety Controls
• Model Access Controls

Industry Keywords

• Cybersecurity Principles
• Software Development Lifecycle Security
• Regulated Environments
• Risk and Governance Requirements
• AI Security Standards

Tools & Technologies

• Terraform
• CloudFormation
• GitLab
• AWS
• Azure
• Wiz
• Microsoft Purview
• Sentinel
• ECS
• EKS