Security / AI Cloud Engineer

New Charter Technologies•Wyoming, MI

20h•$110,000 - $130,000

About The Position

Cyber74, a New Charter Technologies operating company, is building a new practice focused on AI security and is looking for a Security / AI Cloud Engineer to help launch it. In this role, you will work at the intersection of cloud security and artificial intelligence, helping clients adopt AI tools and platforms safely. You will configure and manage security controls across AI-enabled environments, including data loss prevention policies, abuse alerting, and misconfiguration remediation. This is a greenfield opportunity to define a new service area within Cyber74, influence our methodology, and become one of the company's go-to experts in AI security as clients increasingly integrate AI into their operations.

Requirements

3+ years of experience in cloud security, security engineering, or a related role
Hands-on experience with Microsoft 365 security tools (Defender, Purview/DLP, Conditional Access, Sentinel) or equivalent Google/AWS platforms
Familiarity with AI platforms and their security surfaces: Microsoft Copilot, Azure OpenAI, ChatGPT Enterprise, Google Gemini, or similar
Experience configuring DLP policies, CASB solutions, or similar data security controls in cloud environments
Working knowledge of CSPM tools (Microsoft Defender for Cloud, Prisma Cloud, Wiz, or similar) for identifying misconfigurations
Understanding of zero-trust architecture principles and their application to AI workloads
Strong documentation and communication skills; ability to explain complex security concepts to non-technical stakeholders

Nice To Haves

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

Responsibilities

Design, implement, and manage security controls for AI platforms and cloud environments used by Cyber74 clients (Microsoft 365 Copilot, Azure OpenAI, Google Workspace AI, and similar)
Configure and tune Data Loss Prevention (DLP) policies to prevent sensitive data exposure through AI tools and integrations
Develop and maintain alerting rules to detect abuse, anomalous behavior, and policy violations within AI-enabled platforms
Identify, remediate, and track security misconfigurations across AI and cloud environments using industry frameworks and tooling
Conduct security assessments of client AI deployments to identify gaps, risks, and areas for hardening
Collaborate with the vCISO and compliance teams to incorporate AI security considerations into broader client security programs
Document findings, configurations, and procedures; produce clear reports for both technical and executive audiences
Monitor the evolving AI security landscape and recommend new controls, tools, or policies as AI capabilities and threats develop
Support pre-sales and scoping conversations by contributing technical expertise to proposals and client discussions