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# Cognitive AI Engineer (SE3) D.26.0228

- **Company:** Dover Networks LLC
- **Location:** United States
- **Salary:** $256,000.0 - $280,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Signals Intelligence, Cyber Security, Computer Networks, Extract Transform Load (ETL), Relational Databases, Data Flow Control, Systems Analysis, Python (Programming Language), Data Ingestion, Backend, Gitlab, Git, Atlassian Tools, Apache Kafka, Machine Learning Operations, Front End Software Development, Vertica
- **Published:** October 22, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9248262/cognitive-ai-engineer-se3-d260228

## About the Role

* Strong proficiency in Python.
 * Demonstrated use of AI/ML tools to accelerate data analysis and engineering solution development.
 * Experience with Kafka and streaming analytics.
 * Working knowledge of relational databases.
 * Exposure to adjacent domains such as dataflow, data science, or mission analytics is a plus.

Nice to Haves:

 * Hands-on experience with production CNO capabilities and operations.
 * Experience analyzing cyber security data sets such as network traffic and OS events.
 * Understanding of end-to-end SIGINT collection and analysis systems.
 * Familiarity with ClickHouse.
 * Proficiency with Git and GitLab.
 * Working knowledge of Atlassian tools such as Jira and Confluence.

YOE Requirement: 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.

## Description

Description: You will be part of a team responsible for delivering mission-critical infrastructure cognizance. The team's application is used by subject matter experts to investigate, create, and iterate on best practices and deployment rules, and the team detects and surfaces cases where requested or provisioned infrastructure breaks those best practices and rules. Given the visibility and impact of this work, the team interacts with many stakeholders from across the organization and iterate as frequently as possible. You will drive end-to-end feature delivery from concept to production, transforming complex data into actionable insights and leveraging AI to accelerate analysis and solution design., * Design, develop, and maintain full-stack applications (frontend and backend).

 * Apply AI tools and techniques to accelerate analysis and prototype new solutions quickly.
 * Develop ETL workflows to reconcile requested vs. realized infrastructure.
 * Ensure scalable and reliable data ingestion and processing.
 * Collaborate with full-stack engineers on integration and visualization of results.