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Senior Cybersecurity AI Developer

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Onsite

Senior Cybersecurity AI Developer

Benz Technology

Senior Cybersecurity AI Developer

Skills

Data EngineeringPythonData ScienceSplunkCybersecurityData AnalysisMachine LearningAIKubernetesApache Airflow

10 days ago

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Important information


Contract type:

Permanent

Salary:

$165,000 – $205,000 / year

Location:

Fort Meade, MD, USA

Work mode:

Onsite

Published on:

15 October 2026

What they need


Fort Meade, MD TS/SCI with Polygraph Full-Time $165,000 – $205,000 Actively hiring

Active TS/SCI clearance required. Benz Technology is unable to sponsor security clearances. U.S. citizenship required.

About the Role

We are looking for a Senior Cybersecurity AI Developer to build innovative software and rapid prototypes that enhance the speed and effectiveness of defensive cyber operations. You’ll work directly alongside mission operators to translate real-world workflow challenges into advanced technical capabilities. Using cutting-edge AI resources and LLMs, you’ll deliver analytical tools spanning vulnerability analysis, incident response, adversary emulation, and COMSEC monitoring.

Responsibilities

  • Build and prototype software that increases the speed and efficiency of defensive cyber operations
  • Work closely with mission operators to observe workflows and design targeted technical solutions
  • Integrate Large Language Models (LLMs) and AI tools to accelerate development lifecycles and scale data analytics
  • Develop analytical capabilities supporting vulnerability patching, incident response, and threat emulation workflows
  • Design and maintain data pipelines and processing systems for cybersecurity mission data
  • Contribute to COMSEC monitoring tooling and adversary emulation platforms

Required Qualifications

  • Proficiency in Python for application development, scripting, and data manipulation
  • Strong foundational experience in core software development methodologies (design, implementation, testing, deployment)
  • Solid understanding of cybersecurity concepts, defensive operations, or threat landscapes

Desired Qualifications

  • Direct experience developing AI/ML solutions and integrating LLMs in production environments
  • Background in data engineering, data science, or advanced analytics
  • Experience with Splunk development, dashboard creation, or data ingestion pipelines
  • Hands-on experience with Kubernetes or Rancher container orchestration
  • Experience orchestrating data pipelines using Apache Airflow

Why engineers join Benz

  • 15% employer 401(k) — vested day one, no match required
  • 28 paid days off per year
  • $7,500 annual tuition reimbursement
  • $2,500 training & development budget
  • 28 years in business — our engineers stay through recompetes

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