Azure Cloud Security Engineer (AI)

TL;DR

Azure Cloud Security Engineer (AI): Implementing, configuring, and maintaining cloud security tools for Azure and AI infrastructure with an accent on AI-driven threat detection, compliance, and vulnerability management. Focus on designing AI models for anomaly detection and behavioral analysis, integrating SIEM/SOAR/XDR platforms, and mitigating adversarial AI risks like model poisoning.

Location: Onsite Monday-Thursday and remote on Fridays; must live in the NYC Tri-State area

Company

Healthcare-focused organization utilizing cloud and AI platforms requiring secure, compliant infrastructure.

What you will do

• Standardize and implement Azure cloud security best practices across the organization.
• Design, deploy, and optimize AI-driven security models to detect threats, malicious traffic, and anomalies.
• Integrate AI-enabled platforms like SIEM, SOAR, NDR, and XDR for automated threat detection and response.
• Manage Microsoft Purview for DLP, auditing, and governance; configure Entra security controls.
• Monitor infrastructure for incidents, conduct RCA, and lead remediation efforts.
• Collaborate on security standards, identify gaps, and recommend new tools and strategies.

Requirements

• Must live in NYC Tri-State area
• 5-10 years in Cloud Information Security and Cloud Security Engineering
• Hands-on experience with AI/ML for network/cloud security
• Strong experience with Microsoft Purview (DLP/governance)
• Experience with Microsoft Entra, M365 Compliance/Security Center, Azure security
• Expertise in IAM, RBAC, SOC incident investigation

Nice to have

• Experience in healthcare or regulated industries (HIPAA, HITRUST, NIST)
• Certifications: CISSP, CISM, CISA, CCSP, Microsoft Azure Security Engineer Associate

Culture & Benefits

• Cross-functional collaboration with security and infrastructure teams
• Participation in security tabletop exercises and incident response initiatives
• On-call rotation and availability for critical incidents