Job Specifications
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 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, DevSecOps, 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, SageMaker, 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, 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 thef
About the Company
We get you.
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. You’ll find all that here.
Because we empower you.
We power and empower how people live, work and play by connecting them to what brings them joy. The same is true inside our walls. We do what we love — driving innovation, creativity, and impact in the world.
And wherever you go, we got your back.
This is a team sport. Our V Team is a community of people who ...
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