AI Security Engineer — Secure Enterprise AI & Cloud

Carrier; Tallahassee (FL); On-site; USD 118,000 - 235,000; Full time

Benefits offered by this job

Health Care Benefits

Retirement Benefits

Paid vacation and sick leave

Family and medical leave

Job summary

Carrier Global Corporation is seeking an AI Security Engineer to design and maintain security controls across its AI ecosystem, collaborating with Architecture, Cloud Security and Data teams. You will implement safeguards for Copilot, Azure AI, LLMs and ML platforms, and automate security workflows to protect data and applications.

The role emphasizes integration with identity and data protection, monitoring, incident response, and governance across the AI lifecycle, with opportunities to shape

Qualifications

• Bachelor's degree in a technical field or equivalent military/AI security experience.
• 5+ years in cybersecurity technologies across cloud, app, infra or security engineering.

Responsibilities

• Design, build, deploy and maintain security controls for enterprise AI platforms.
• Implement safeguards for Copilot, Azure AI, LLM apps and ML platforms.
• Integrate AI security with identity, DLP, logging, CASB, SSE and SIEM.
• Develop AI security automation, detections, dashboards and runbooks.
• Support incident response and remediation involving AI technologies.

Skills

Security engineering

Cloud security

Python

PowerShell

Terraform

Education

Bachelor's degree in Cybersecurity, CS, IT, Engineering, Data Science, or technical discipline

Alternative: HS diploma + 4 years military or 1 year AI security experience

Tools

Microsoft Copilot

Azure AI Services

Azure OpenAI

Microsoft Defender

Microsoft Sentinel

Purview

Job description

Carrier Global Corporation is seeking an AI Security Engineer to design and maintain security controls across its AI ecosystem, collaborating with Architecture, Cloud Security and Data teams. You will implement safeguards for Copilot, Azure AI, LLMs and ML platforms, and automate security workflows to protect data and applications.

The role emphasizes integration with identity and data protection, monitoring, incident response, and governance across the AI lifecycle, with opportunities to shape