Hybrid Senior AI & Data Security Engineer

Verizon; Alpharetta (GA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Verizon’s Exposure and Vulnerability Management (EVM) Engineering and Reporting team seeks a Sr. AI and Data Engineer to lead the development of our security data architecture, web infrastructure, and AI models.

You will build scalable data pipelines, manage reporting portals, and deploy AI models to predict and prioritize cybersecurity vulnerabilities. You will shape data structures, securely host diverse asset data, and deliver proactive insights through automated pipelines.

Qualifications

• Bachelor's degree or four or more years of work experience.
• Eight or more years of relevant experience required, demonstrated through one or a combination of job-related work experience, military experience, or specialized training or education (non-collegiate).
• Experience in Python and SQL for complex data manipulation, ETL processes, and algorithmic development.
• Advanced expertise in writing, optimizing, and debugging complex queries and schemas for relational (SQL Server, PostgreSQL, Oracle) and non-relational (MongoDB, Elasticsearch) databases, as well as modern Data Warehouses (e.g., Snowflake, BigQuery).
• Proven experience deploying, securing, and maintaining web infrastructure, REST APIs, and backend frameworks, as well as working with web servers/proxies.
• Hands-on experience developing predictive models and integrating ML libraries into production web environments.
• Prior experience engineering within a Vulnerability Management program or Cyber Security organization.

Responsibilities

• Data Pipeline & Architecture: Design, construct, and maintain highly scalable data pipelines (ETL/ELT) that ingest, transform, and centralize complex security data from numerous Systems of Record (SoR) into the Cyber Data Hub.
• Web Infrastructure & API Management: Build, maintain, and optimize the backend web infrastructure required to securely serve data dashboards, reporting portals, and AI model endpoints to end-users.
• Database Engineering: Engineer comprehensive data models (conceptual, logical, physical) and optimize relational and non-relational database architectures for both high-volume transactional processing and BI/analytics workloads.
• AI & Predictive Analytics: Develop and deploy machine learning models and intelligent automation to enhance vulnerability risk scoring, utilizing the data foundations and infrastructure you have built.
• Frameworks & Automation: Create reusable, automated frameworks and CI/CD workflows for data processing, web deployments, and model training to ensure low-touch, sustainable operations.
• Data Integrity & Governance: Implement strict data quality checks, schema validations, and compliance safeguards to ensure the absolute integrity of downstream reporting and AI inputs.
• Environment Management: Maintain and monitor our web servers, databases, ML staging, and UAT reporting environments to ensure high availability and reliable, secure deployment of EVM products.
• Technical Leadership: Translate complex security program needs into concrete data and infrastructure tasks, guiding junior engineers and serving as a key technical liaison between security operations and core engineering.

Skills

Python

SQL

AI/ML

Data pipelines

Security data architecture

Vulnerability management

Education

Bachelor's degree or 4+ years experience

Tools

Snowflake

BigQuery

MongoDB

Elasticsearch

SQL Server

PostgreSQL

Oracle

Docker

Kubernetes

Job description

Verizon’s Exposure and Vulnerability Management (EVM) Engineering and Reporting team seeks a Sr. AI and Data Engineer to lead the development of our security data architecture, web infrastructure, and AI models.

You will build scalable data pipelines, manage reporting portals, and deploy AI models to predict and prioritize cybersecurity vulnerabilities. You will shape data structures, securely host diverse asset data, and deliver proactive insights through automated pipelines.