Security – AI Cloud Engineer

This is a fully remote position, open to applicants in Connecticut, +3 more states.

📋 Description

• Design, implement, and oversee security measures for AI platforms and cloud environments utilized by Cyber74 clients (including Microsoft 365 Copilot, Azure OpenAI, Google Workspace AI, and similar technologies).

• Configure and fine-tune Data Loss Prevention (DLP) policies to avert sensitive data exposure through AI tools and integrations.

• Develop and sustain alerting protocols to identify misuse, anomalous behavior, and violations of policy within AI-enabled platforms.

• Identify, remediate, and monitor security misconfigurations across AI and cloud environments by employing industry frameworks and tools.

• Perform security assessments on client AI implementations to uncover vulnerabilities, risks, and areas that require strengthening.

• Collaborate with the vCISO and compliance teams to weave AI security considerations into broader security programs for clients.

• Document findings, configurations, and procedures, producing clear reports for both technical and executive stakeholders.

• Monitor the dynamic AI security landscape and suggest new controls, tools, or policies as AI functionalities and threats evolve.

• Assist in pre-sales and scoping discussions by providing technical expertise for proposals and client interactions.

⛳️ Requirements

• A minimum of 3 years of experience in cloud security, security engineering, or a related field.

• Practical experience with Microsoft 365 security tools (such as Defender, Purview/DLP, Conditional Access, Sentinel) or their equivalent in Google/AWS platforms.

• Familiarity with AI platforms and their security aspects, including Microsoft Copilot, Azure OpenAI, ChatGPT Enterprise, Google Gemini, or similar technologies.

• Experience in configuring DLP policies, CASB solutions, or comparable data security controls within cloud environments.

• Working knowledge of CSPM tools (like Microsoft Defender for Cloud, Prisma Cloud, Wiz, or similar) for detecting misconfigurations.

• Understanding of zero-trust architecture principles and their application to AI workloads.

• Relevant certifications are preferred: AZ-500, SC-200, SC-400, CCSP, or equivalent cloud/security certifications.

• Excellent documentation and communication skills, with the ability to convey complex security concepts to non-technical stakeholders.

🏝️ Benefits

• Employee benefits.

• Professional development opportunities.