Senior AI Security Engineer: Threat Analytics & SIEM

Jobtailor; Washington (Washington County); On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor is seeking an experienced AI Security Engineer to design, train and operate ML models for threat detection and compliance monitoring. You will integrate AI with security tools and collaborate with SOC and security engineering teams to implement SIEM enhancements and automated incident response.

Ideal candidates have 4+ years in IT/cybersecurity, hands‑on ML for security, and strong knowledge of FISMA/NIST guidelines.

Qualifications

• Bachelor’s degree in CS/AI/Cybersecurity or related field from an accredited university.
• Minimum of 4 years in information technology or cybersecurity.
• At least 2 years hands‑on AI security engineering or ML development in a complex enterprise.
• Experience developing, training and deploying ML models for security or data analytics.
• Experience integrating AI/ML into enterprise security tools and workflows.
• Familiarity with FISMA, NIST SP 800-53 and AI governance guidelines.
• Ability to obtain MBI or higher, PIV credentials and IT access authorities.
• Top Secret clearance access if required during performance period.
• Strong English communication, both written and oral.
• Hands‑on expertise in supervised and unsupervised learning, NN, NLP, anomaly detection, predictive analytics.
• Proficiency with TensorFlow, PyTorch, scikit‑learn; Python, PowerShell, SQL, JSON.
• Experience with AI‑driven SIEM (Microsoft Sentinel) and CI/CD in DevSecOps.
• Familiarity with AI governance and NIST RMF; knowledge of FedRAMP and NIST SP 800‑207.
• Familiarity with SOC operations, incident response, threat intel, vulnerability mgmt, security eng.
• Experience documenting AI systems and privacy/compliance considerations.
• Experience assessing supply chain risks of third‑party AI tools in federal IT.

Responsibilities

• Support design, development, testing, deployment, and maintenance of AI security solutions for threat detection and response.
• Develop and maintain ML models for anomaly detection, threat analytics, and automated threat hunting.
• Implement AI‑driven SIEM enhancements (Microsoft Sentinel or equivalent) including detection rules and UEBA.
• Integrate AI with SIEM/EDR/threat intel/vulnerability mgmt and SOC workflows.
• Automate incident response, vulnerability prioritization, and compliance assessment using AI and scripting.
• Develop automated compliance tools for NIST SP 800‑53, FISMA, and agency standards.
• Implement AI‑driven risk assessment methodologies, data pipelines, scoring, and visualization.
• Support fraud detection, policy enforcement, risk mitigation and regulatory reporting with AI.
• Collaborate with AI Security Engineer Lead, SOC tech lead, cybersecurity architect, and teams.
• Document model development, architectures, training parameters, evaluation metrics, and deployment configs.
• Maintain CI/CD pipelines for AI model updates and performance monitoring.
• Monitor model drift, accuracy, false positives/negatives, and adversarial risks.

Skills

AI Security Engineering

Machine Learning Development

Microsoft Sentinel

FISMA Compliance

CI/CD Pipeline Management

Anomaly Detection

NIST RMF

Communication Skills

Supervised Learning

Unsupervised Learning

Natural Language Processing

Predictive Analytics

Education

Bachelor’s degree in Computer Science / Artificial Intelligence / Cybersecurity / Information Systems / Data Science

Tools

TensorFlow

PyTorch

scikit-learn

Python

PowerShell

SQL

JSON

Job description

Jobtailor is seeking an experienced AI Security Engineer to design, train and operate ML models for threat detection and compliance monitoring. You will integrate AI with security tools and collaborate with SOC and security engineering teams to implement SIEM enhancements and automated incident response.

Ideal candidates have 4+ years in IT/cybersecurity, hands‑on ML for security, and strong knowledge of FISMA/NIST guidelines.