Verizon

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 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 V Team Life.

Listed Jobs

Company Name

Verizon

Job Title

AI Security Engineer

Job Description

**Job title** AI Security Engineer **Role Summary** Design and implement an enterprise‑wide automation framework that embeds AI security controls into CI/CD, MLOps, and AI/ML platform workflows. Ensure secure design, deployment, and operation of AI systems at scale across multiple business units. **Expectations** - Deliver a reusable, modular automation solution that integrates AI security tools (ThreatModeler, SplxAI, Galileo) into development pipelines. - Standardize AI‑specific security checks (model scanning, data validation, prompt injection defense, provenance verification) across diverse environments. - Implement governance, compliance, and monitoring aligned with NIST AI RMF, OWASP Top 10 for LLM/ML, and enterprise security policies. - Serve as a subject‑matter expert, evangelising secure AI practices and conducting enablement sessions. - Accelerate adoption of AI security tooling through automation, enablement, and partnership with MLOps, Data Science, and Platform Engineering teams. **Key Responsibilities** - Architect and build a centralized AI Security Automation Framework. - Automate deployment and configuration of AI security tools within CI/CD and MLOps workflows. - Create reusable integration patterns, templates, and configuration bundles for secure AI model development. - Work with cloud services (GCP, AWS, Azure ML, Vertex AI, SageMaker) and container platforms (Kubernetes, Docker, Helm). - Integrate identity and access management (IAM) and API gateway controls (Kong, Apigee, OPA, ForgeRock). - Design and maintain observability and risk‑tracking dashboards for AI systems. - Evaluate and incorporate Zero‑Trust principles, model security, and data protection into automation scripts. - Provide guidance and enablement to development and data‑science teams on secure AI development life cycles. **Required Skills** - 4+ years of cybersecurity engineering, DevSecOps, or MLOps experience. - Proficient in automation with Python, Bash, Terraform, or equivalent. - Hands‑on CI/CD expertise (Jenkins, GitLab CI, GitHub Actions). - Cloud‑native technology stack experience (GCP, AWS, Azure, Vertex AI, SageMaker). - Container orchestration (Kubernetes, Docker, Helm). - Email‑gateway and API security integration (Kong, Apigee, OPA, ForgeRock). - Experience with AI security tools (ThreatModeler, SplxAI, Galileo). - Knowledge of Zero‑Trust, model observability, data lineage, and model risk management is preferred. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Information Security, or related field *or* equivalent 4+ years of relevant work experience. - Certifications such as CISSP, CISM, CISA, or relevant Kubernetes/DevOps credentials are beneficial.

Basking ridge, United states

On site

Junior

02-02-2026