What you'll be doing:

Verizon’s Exposure and Vulnerability Management (EVM) Engineering and Reporting team is seeking a Sr. AI and Data Engineer to lead the development of our security data architecture, web infrastructure, and artificial intelligence models. In this role, you will be the hands-on driving force building scalable data pipelines, managing the web infrastructure that hosts our reporting solutions, and developing AI models to predict and prioritize cybersecurity vulnerabilities.

While you will build AI and predictive analytics solutions, your primary focus will be engineering the robust data pipelines, databases, and web services that make those intelligent insights possible. You will have the opportunity to influence the blueprint of how diverse asset data is structured, securely hosted, and meaningfully delivered to the security organization.

By engineering scalable data models, reliable web infrastructure, and intelligent AI pipelines, you will help ensure our infrastructure is ready for predictive analytics and that our reporting solutions provide proactive, automated insights rather than just historical data.

Key Responsibilities include:

• 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.

We need a builder with a vision—someone who views complex security problems through the lens of data architecture, scalable web infrastructure, and intelligent automation. You should be deeply analytical, thrilled by processing massive datasets, capable of maintaining the web services that deliver those insights, and eager to leverage AI to stay ahead of emerging threats. You flourish in fast-paced environments and possess the technical credibility to guide both infrastructure execution and architectural direction.

You'll need to have:

• 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.

Even Better if You Have:

• Exceptional ability to translate client needs into achievable technical requirements and present infrastructure/data roadmaps to executive leadership.
• Advanced experience with cloud-native web hosting, containerization (Docker, Kubernetes), and serverless architecture.
• Experience fine-tuning Large Language Models (LLMs) or building Retrieval-Augmented Generation (RAG) frameworks to run on top of your data infrastructure.
• Understanding of security frameworks (NIST, SOX, FISMA) and the full IT stack (OS, Network, Cloud, SDLC).

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.

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.