AI Security Engineer

Apply prior to the end date:
January 22nd, 2026

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world.

Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

• 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.

You’ll need to have:

• 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.)

Even better if you have one or more of the following:

• 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

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.

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.