- Design, build, and operate AI and machine learning capabilities supporting cyber tool integration and security operations automation
- Own the six-pillar AI validation framework, including categorizing, testing, and validating AI technologies before deployment
- Deliver the Autonomous Workflow Library jointly with the DevSecOps Engineer
- Produce the quarterly Security Control Effectiveness Report
- Maintain the AI System / LLM Development and Operation Documentation Package
- Issue AI Model / LLM Change Disclosures at least 30 days before any model change
- Meet AI attestation and disclosure obligations
- Document model behavior and changes for a Government audience
- Partner with the Cloud Security Architect and DevSecOps Engineer to integrate AI into the enterprise security toolset without expanding the attack surface
Requirements
- Current DoD 8140/8570 Level III certification required at time of application: IAT III, IAM III, or IASAE III, or another credential on the current matrix at the required level
- Minimum 10 years of information technology experience, including applied machine learning or LLM engineering in a security or operations context
- Master's degree in Cybersecurity, Computer Science, Information Systems, Information Assurance, Information Security, Data Science, or a related field
- Degrees earned outside the United States require a NACES-member equivalency evaluation
- Defensible, documented methodology for categorizing, testing, and validating AI technologies before deployment
- Working knowledge of Federal AI governance obligations, including attestation and disclosure requirements
- Ability to write model behavior and change documentation suitable for Government review
- Proficiency in Python and modern ML/LLM tooling
- Engineering discipline to move a model from prototype to a supportable production capability
- U.S. citizenship required
- Ability to obtain and maintain Tier 4 / High Risk Public Trust suitability, VA systems access, and PIV credentialing
- No work may begin until an interim determination is received
Core Competencies
Demonstrates expertise in AI and machine learning capabilities within cybersecurity, focusing on the validation and integration of AI technologies while ensuring compliance with Federal governance obligations. Proficient in producing documentation and reports for government audiences, with a strong foundation in information technology and security operations.
Highest-signal resume keywords
- DoD 8140/8570 Level III Certification
- Applied Machine Learning Experience
- Proficiency In Python
- AI Governance Knowledge
- Master's Degree In Cybersecurity
Hard Skills
- AI Validation Framework
- Machine Learning Engineering
- Security Operations Automation
- Model Behavior Documentation
- AI Model Change Disclosures
- Defensible Methodology
- Production Capability Engineering
- Security Control Effectiveness Reporting
- AI System Documentation
- LLM Tooling
Certifications & Qualifications
- IAT III
- IAM III
- IASAE III
Industry Keywords
- Cybersecurity
- Information Technology
- Federal AI Governance
- DevSecOps
- Cloud Security
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Artificial Intelligence Engineer – Federal Cybersecurity Arbeitgeber: Jobtailor
Als Front Office Supervisor in unserem dynamischen Team bieten wir Ihnen die Möglichkeit, in einem unterstützenden und freundlichen Arbeitsumfeld zu wachsen. Wir legen großen Wert auf die berufliche Entwicklung unserer Mitarbeiter und bieten regelmäßige Schulungen sowie die Chance, Verantwortung zu übernehmen. Unsere Lage ermöglicht es Ihnen, Teil einer lebendigen Gemeinschaft zu sein, während Sie gleichzeitig die Standards unseres Franchise-Partners einhalten und unseren Gästen einen unvergesslichen Aufenthalt bieten.