AI/Cloud Security Engineer

Job description

Position Summary – The AI/Cloud Security Engineer is responsible for testing, installing, configuring, and maintaining cloud security solutions/tools. Additionally, AI/Cloud Security Engineer communicates findings, incidents, and concerns to security team members and leadership in a timely manner. The AI/Cloud Security Engineer should possess a strong background in AI usage to secure MedReview’s Cloud and AI Infrastructure. This role is onsite Monday - Thursday and remote on Fridays.

Job Responsibilities:

• Standardizing Azure Security best practices, processes, and procedures.
• Experience using AI/ML-driven security tools for anomaly detection, behavioral analysis, bias testing, and threat intelligence correlation.
• Ability to design, deploy, and tune AI-based security models to identify malicious traffic, lateral movement, and zero-day threats.
• Proficiency in integrating AI-powered SIEM, SOAR, NDR, and XDR platforms to automate incident detection and response.
• Knowledge of adversarial AI risks, including model poisoning, evasion attacks, and data integrity threats, and how to mitigate them.
• Experience using AI to reduce false positives, prioritize alerts, and improve mean time to detect (MTTD) and respond (MTTR).
• Extensive Knowledge of utilizing and implementing Microsoft Purview and all its features. DLP, Auditing, etc.
• Microsoft Entra Internet Access, Microsoft Entra Private Access, and Global Secure Access
• M365 Compliance and Security Centers
• Collaborating with team members to develop and document security standards and policies that align with industry’s best practices.
• Finding gaps with the current security posture and assisting with finding new security products, installation, configuration, and policies & procedures.
• Monitoring cloud infrastructure for security breaches. Security incident response and forensic investigation.
• Investigations into how incidents and/or breaches occur and Root Cause Analyses (RCA) as a member of the incident response team.
• Participation in security tabletop exercises.

Required Experience:

• Very strong hands on 5-10 years’ experience in Cloud Information Security and AI Security Engineering.
• Must demonstrate hands-on experience levering AI and machine learning technologies to enhance overall security.
• Strong Identity and Access Management (IAM), Role-Based access Control (RBAC) experience
• Strong Purview Environment Experience
• Experience monitoring Cloud Infrastructure and systems for security breaches or intrusions and working with SOC team to remediate.
• Experience in some specific vertical industry (Healthcare) preferred.
• Documentation of security tools, deployment configuration, incident reports, etc.
• CISSP, CISM, CISA, CCSP, ITIL, IaaS, PaaS, SaaS, Azure Security Engineer Associate, or other related certification preferred.
• Ability to communicate technical information in a clear manner, both written and verbally, to end users
• Experience with HIPAA, HITRUST, ISO 42001 ISO 27001, ISO 27002, URAC regulations and awareness and/or experience with CMS, NIST and other healthcare related regulations preferred.
• Availability to work nights and weekends during (un)planned outages and other special circumstances, with ²⁴⁄₇ accountability.
• Availability to enter on call rotation.
• Ability to lift 50 lbs.