AI Security Engineer

When you join Verizon

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.

What You’ll Be Doing...

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 (ThreatModeler, 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.
  
  

What We’re Looking For...

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 or Master’s degree in Computer Science, Cybersecurity, or related field.
• 4+ years of experience in cybersecurity engineering, DevSecOps, or MLOps.
• Strong automation skills 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, SageMaker, Kubernetes, Docker, Helm, APIs, etc.)
• Familiarity with Zero Trust principles, model security, and data protection.
  
  

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

• 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, ForgeRock).
• Hands-on work with AI Security tools like ThreatModeler, 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.

Where you’ll be working

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.

Scheduled Weekly Hours

40

Equal Employment Opportunity

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

Benefits And Compensation

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 insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.

The salary range for the location(s) listed on this job requisition based on a full-time schedule is: $101,000.00 - $194,000.00.