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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Distinguished AI and Data Security Engineer - **Company:** Verizon Communications Inc. - **Location:** Alpharetta, GA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, BigQuery, Cloud Computing, Cloud Engineering, Cyber Security, Databases, Continuous Integration, Data Architecture, Data Hub, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Security, Data Warehousing, Database Queries, Software Debugging, Elasticsearch, Web Servers, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, MongoDB, Oracle (Applications), Systems Development Life Cycle, SQL Databases, Systems Integration, Software Vulnerability Management, Web Hosting Services, Web Services, Data Processing, System Availability, Large Language Models, Snowflake, Software Security, Backend, Containerization, Scikit Learn, Kubernetes, Non-relational Database, Restful APIs, Data Pipelines, Api Management, Serverless Computing, Docker - **Published:** September 26, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18450245?backUrl=%2Fcareer%2F18450245%2FDistinguished-Ai-Data-Security-Engineer-Georgia-Alpharetta ## About the Role 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., * 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). ## Description * 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., Where you'll be workingIn 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. 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