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# Cyber AI Specialist

- **Company:** COLSA CORPORATION
- **Location:** Huntsville, AL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cyber Security, Data Governance, Machine Learning, Systems Integration, Model Validation, Information Technology, Data Analytics, Machine Learning Operations
- **Published:** August 13, 2026
- **Apply:** https://jobs.silkroad.com/Colsa/Careers/Apply/MultiForm/9722

## About the Role

COLSA is seeking a highly skilled Cyber AI Specialist with deep expertise in artificial intelligence and hands-on experience with the Risk Management Framework (RMF). The ideal candidate will support advanced technology development, ensure cybersecurity compliance, and help integrate AI capabilities into mission-aligned systems., * Bachelor's degree in computer science, information technology, cyber security, engineering, or related field or equivalent work experience.

 * Minimum of 10 years of experience in technology, information security, cyber security, or a related field.
 * In-depth knowledge of AI, machine learning, and data-driven system design.
 * Familiarity with NIST SP 800-53 security controls and DoW cybersecurity policies.
 * Strong analytical and problem-solving skills.
 * Ability to work collaboratively in a multidisciplinary environment.
 * U.S. citizenship and ability to obtain and maintain a Secret security clearance prior to start, * Master's Degree in computer science, information technology, cyber security, engineering, or related field
 * Active Secret security clearance
 * Experience deploying AI/ML models within secure environments.
 * Familiarity with MLOps practices, model explainability techniques, or high-assurance system design.
 * Prior experience supporting Navy programs, laboratories, or warfare centers.

## Description

* Support RMF activities across all phases, including documentation, control implementation, security assessments, and continuous monitoring.
 * Provide technical guidance on AI model lifecycle management, model evaluation, data governance, and ethical AI considerations.
 * Support system integration, testing, and accreditation efforts.
 * Prepare clear, concise engineering documentation and briefings for technical and leadership audiences.


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