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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cybersecurity AI Developer - **Company:** Leidos, Inc. - **Location:** Laurel, MS, United States - **Salary:** $87,100.0 - $157,450.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Business Analytics Applications, Cyber Security, Computer Programming, Information Engineering, Python (Programming Language), Security Information and Event Management, Software Engineering, Data Processing, Scripting, Large Language Models, Cyber Threat Analysis, Containerization, Kubernetes, Rancher, Data Analytics, Cyber Warfare, Splunk, Data Pipelines, Vulnerability Analysis - **Published:** August 28, 2026 - **Apply:** https://www.dice.com/job-detail/6db6f2f9-a727-449a-9d8d-141085724e0b ## About the Role + Master's degree +3 years, bachelor's degree +5 years, associate's degree +7 years, or High School diploma or GED +12 years of relevant experience. Relevant experience must be in the software development process (i.e., requirements analysis, software design, implementation, testing, integration, deployment/installation, and maintenance) and programming. Formal or informal leadership experience is preferred. + Software Engineering: Strong foundational experience in core software development methodologies. + Python Mastery: Proficiency in Python for application development, scripting, and data manipulation. + Cybersecurity Exposure: Solid understanding of foundational cybersecurity concepts, defensive operations, or threat landscapes. * Security Clearance Requirement: * Active TS/SCI with Polygraph required to be considered for this role. * Desirable Skills: + Artificial Intelligence: Direct experience developing AI solutions and utilizing LLMs in production. + Data Science: Background in data engineering, data science, or advanced analytics. + SIEM Tools: Experience with Splunk development, dashboard creation, or data ingestion pipelines. + Containerization & Orchestration: Hands-on experience with Kubernetes or Rancher architectures. + Workflow Automation: Experience orchestrating data pipelines using Apache Airflow. ## Description We are seeking a motivated Cybersecurity AI Developer to join our development team supporting Cybersecurity Defensive Operations. In this role, you will build innovative solutions and rapid prototypes that directly enhance the efficiency of operators protecting critical government agencies and Defense Industrial Base (DIB) resources. You will work side-by-side with mission operators, transforming their real-world challenges into advanced technical capabilities. By leveraging cutting-edge corporate AI resources, you will accelerate code development and deliver sophisticated analytical tools for systems vulnerability analysis, incident response, adversary emulation, and COMSEC monitoring., * Mission Focus: + Develop Solutions: Build and prototype software that directly increases the speed and efficiency of defensive cyber operations. + Collaborate with Operators: Work closely with mission operators to observe workflow challenges and design innovative technical solutions. + Integrate AI Capabilities: Leverage Large Language Models (LLMs) and corporate AI resources to optimize development lifecycles and scale data analytics. + Enhance Mission Capabilities: Support critical workflows across vulnerability patching, incident response, and threat emulation. ## Related Videos - [Automated Security for the Entire SDLC](https://www.wearedevelopers.com/videos/100323-automated-security-for-the-entire-sdlc) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [The AI Security Survival Guide: Practical Advice for Stressed-Out Developers](https://www.wearedevelopers.com/videos/1015-the-ai-security-survival-guide-practical-advice-for-stressed-out-developers) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [From Monolith Tinkering to Modern Software Development](https://www.wearedevelopers.com/videos/822-from-monolith-tinkering-to-modern-software-development) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)