AI Security Engineer

AI Security Engineer – Verizon

When you join Verizon, you have a place to share ideas freely and grow.

We are looking for an AI Security Engineer to develop a reusable automation framework that integrates AI security tools into developer workflows and enterprise AI platforms across Verizon’s multiple business units. You’ll be finding the right technology to help ensure our customers keep their systems secure and spot risks before they become real threats. This role will drive the adoption of AI security capabilities throughout Verizon, ensuring that AI systems are designed, deployed, and operated securely at scale.

• Designing and building a reusable, modular automation solution to integrate AI security tools into CI/CD pipelines, MLOps workflows, and AI/ML platforms.
• Enabling seamless integration of AI security controls across diverse AI environments and development ecosystems used by different business units.
• Delivering centralized AI Security Automation Framework that integrates tools and policies across the enterprise.
• Automating and standardizing the deployment and configuration of AI Security Tools (Threat Modeler, SplxAI, Galileo) within enterprise workflows.
• Embedding AI‑specific security checks—such as model scanning, data validation, prompt injection defense, and model provenance verification—into development pipelines.
• Delivering reusable integration patterns and templates for secure AI model development and deployment.
• Partnering with MLOps, Data Science, and Platform Engineering teams across business units to drive adoption and standardization of AI security tooling and practices.
• Implementing automated governance, compliance, and monitoring aligned with NIST AI RMF, OWASP Top 10 for LLM/ML, and enterprise security policies.
• Delivering a governance and observability layer that provides visibility into AI risks across the organization.
• Serving as a subject matter expert, evangelizing secure AI development practices and conducting enablement sessions for development teams and data science teams.
• Accelerating the adoption of AI Security tools through automation, enablement, and partnership.

You’re driven to pinpoint a problem and tenacious about finding a solution. You’re organized and pay attention to details. You are the person that others rely on. You are accountable and follow through with a sense of urgency.

• Bachelor’s degree or four or more years of work experience.
• Four or more years of relevant work experience required, demonstrated through work experience and/or military experience.
• Four years of experience in cybersecurity engineering, Dev Sec Ops , or MLOps.
• Experience in automation using Python, Bash, Terraform, or similar tools.
• Hands‑on experience with CI/CD systems (Jenkins).
• Experience with cloud‑native technologies (GCP, AWS, Vertex AI, Azure ML, Sage Maker, Kubernetes, Docker, Helm, APIs, etc.).

• Familiarity with Zero Trust principles, model security, and data protection.
• Experience building enterprise automation frameworks or reusable security pipelines.
• Knowledge of model observability, data lineage, and model risk management.
• Exposure to enterprise IAM and API Gateway integrations (e.g., Kong, Apigee, OPA, Forge Rock).
• Hands‑on work with AI Security tools like Threat Modeler, SplxAI, and Galileo.
• Hands‑on experience with AI Agents and the MCP server solution development.

In this hybrid role, you’ll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

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Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life…