Job Description
Job DescriptionPosition 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.
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