CyberSecurity Engineer with AI

This is a remote position.

JOB DESCRIPTION:

Cybersecurity Engineer ? AI?First Security Engineering Generalist

Role snapshot (join an existing team; be the AI catalyst) We?re hiring a mid?senior cybersecurity engineering generalist (individual contributor) to join an established security team that has limited AI experience. This hire will be the team?s practical AI catalyst: applying AI/ML to improve current detection, remediation, DevSecOps, identity, and automation programs; piloting safe AI integrations; and mentoring colleagues to adopt and maintain AI?enabled cyber outcomes. Technologies: Terraform, GitHub Actions, CrowdStrike, Microsoft Sentinel, Zscaler, Azure AD, ServiceNow. Candidate must be

Why this hire matters (catalyze AI adoption):

• Bring forward?thinking, practical AI engineering into existing security programs to reduce risk faster and increase team effectiveness.
  
• Demonstrate measurable wins (reduced MTTR, fewer false positives, higher coverage) via pilots that the team can operationalize and scale.
  
• Lower adoption friction by producing reusable artifacts, runbooks, and training so the existing team can sustain AI integrations.
  
• Ensure responsible AI adoption with model governance, human?in?the?loop controls, and clear rollback/audit procedures.
  

Requirements

Core responsibilities (deliver and enable):

• Assess the team?s current detection, response, DevSecOps, identity, and automation efforts; identify pragmatic AI opportunities that retrofit into live programs.
  
• Prioritize and execute AI pilots that show quick, measurable cyber value; document outcomes, safety controls, and operational runbooks for scaling.
  
• Build AI?enabled detection and triage features that integrate CrowdStrike and Microsoft Sentinel telemetry to reduce analyst load and improve prioritization.
  
• Augment existing SOAR/ServiceNow runbooks with AI?assisted enrichment and decisioning while keeping human oversight and audit trails.
  
• Improve DevSecOps programs by introducing AI?assisted IaC checks, secure IaC templates (Terraform), and GitHub Actions automations to prevent misconfigurations.
  
• Advance Zero Trust and identity engineering (Zscaler, Azure AD) using AI to spotlight risky access patterns and suggest conditional access refinements.
  
• Produce production?ready engineering artifacts?Terraform modules, Sentinel analytics, ServiceNow runbooks, GitHub Action snippets, and test harnesses?that integrate smoothly into current processes.
  
• Coach and mentor team members: run brown?bags, create playbooks, perform pair?programming, and help teammates operate and maintain AI features.
  
• Maintain rigorous model governance and security controls for AI use: data lineage, access controls, monitoring, explainability, test datasets, and rollback procedures.
  
• Measure and report security outcomes: MTTR, detection accuracy, analyst time saved, incident volume changes, and coverage improvements.
  
• Act as an internal advocate for pragmatic AI: balance innovation with safety, compliance, and operational sustainability.
  

Should?have profile (skills + disposition):

• 5?10 years hands?on cybersecurity engineering experience delivering production solutions across detection, automation, DevSecOps, identity, or endpoint areas.
  
• Demonstrated ability to introduce and integrate AI/ML into live security programs with measurable improvements.
  
• Strong Terraform and GitHub Actions experience for IaC and pipeline security; able to produce reusable modules and CI integrations.
  
• Operational experience with CrowdStrike telemetry and Microsoft Sentinel analytics/playbooks.
  
• Experience building ServiceNow/SOAR automations and integrating runbooks with detection tooling.
  
• Experience with Zero Trust controls (Zscaler, Azure AD conditional access).
  
• Production scripting/programming skills (Python preferred) and experience deploying automation to live environments with rollback and auditability.
  
• Strong communicator, educator, and collaborator ? comfortable mentoring less?experienced teammates and producing clear documentation and training artifacts.
  
• Systems thinker with a pragmatic, risk?based approach to prioritization and delivery.