AI Security Engineer

Carrier • CAFLO: Carrier-Home Florida Remote Location, Remote City, FL, 33412 USA, FL

1d • $117,500 - $234,500

About The Position

The AI Security Engineer builds, deploys, integrates, automates, and supports security controls that protect Carrier’s artificial intelligence ecosystem. Working with Security Architecture, Cloud Security, Data Engineering, Platform Engineering, and Application Development teams, this role implements secure AI solutions, operationalizes AI security controls, and embeds security into enterprise AI platforms and services.

The role engineers and supports security capabilities for the secure adoption of Microsoft Copilot, Azure AI services, large language model platforms, machine learning solutions, and emerging AI technologies. It also provides advanced engineering support for AI-related cybersecurity issues and service requests, and contributes to incident response, investigations, remediation, governance, and compliance.

Requirements

• Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, Engineering, Data Science, or another technical discipline; alternatively, a high school diploma or GED with 4 years of military experience or 1 year of direct AI security experience.
• At least 5 years of experience implementing or supporting cybersecurity technologies in cloud, application, infrastructure, or security engineering environments.

Nice To Haves

• Knowledge of implementing and supporting security controls in Microsoft Azure, AWS, Google Cloud Platform, or comparable cloud environments.
• Proficiency securing Microsoft Copilot, Azure AI Services, Azure OpenAI, Microsoft Purview, Microsoft Defender, Microsoft Sentinel, or related Microsoft technologies.
• Familiarity with DLP, CASB, SSE, SIEM, EDR, identity, and cloud-native security controls.
• Ability to develop and automate solutions using Python, PowerShell, C#, Terraform, or comparable scripting and infrastructure-as-code technologies.
• Knowledge of integrating security controls into AI applications, APIs, data pipelines, development workflows, and AI-enabled systems.
• Understanding of generative AI, machine learning platforms, LLMs, RAG, AI application architectures, and AI security and governance frameworks such as NIST AI RMF, MITRE ATLAS, and ISO 42001.
• Relevant certifications such as CISSP, CCSP, Azure Security Engineer, Security+, Microsoft AI certifications, or equivalent credentials.
• Familiarity with enterprise security technologies, monitoring, incident response, identity and access management, data protection, network security, and application security practices.

Responsibilities

• Design, build, deploy, configure, and maintain security controls for enterprise AI platforms and services.
• Implement technical safeguards for Microsoft Copilot, Azure AI Services, LLM applications, machine learning platforms, and AI-enabled business solutions.
• Integrate AI security controls with identity management, data loss prevention, logging, monitoring, CASB, SSE, SIEM, and cloud security platforms.
• Develop and maintain AI security automation, workflows, detections, dashboards, reporting, and operational processes.
• Build and support monitoring capabilities to detect AI misuse, prompt injection attacks, unauthorized access, sensitive data exposure, and other AI security threats.
• Engineer secure implementation patterns for AI application development, model deployment, API integrations, and data ingestion pipelines.
• Partner with development and platform teams to implement security requirements throughout the AI lifecycle.
• Develop scripts, automations, APIs, and integrations to improve AI security operations and control effectiveness.
• Perform technical validation, testing, troubleshooting, tuning, and continuous improvement of AI security controls.
• Support incident response, investigations, and remediation activities involving AI technologies and AI-enabled applications.
• Deploy and maintain security tooling supporting AI monitoring, data protection, governance, and compliance requirements.
• Develop technical documentation, implementation guides, standard operating procedures, and operational runbooks.
• Provide advanced engineering support for AI-related cybersecurity issues and service requests.

Benefits

• Medical, dental, and vision coverage
• Wellness incentives
• Retirement benefits
• Paid vacation, up to 15 days
• Paid sick days, up to 5 days
• Paid personal leave, up to 5 days
• Paid holidays, up to 13 days
• Birth and adoption leave
• Parental leave
• Family and medical leave
• Bereavement leave
• Jury duty leave
• Military leave
• Purchased vacation
• Short-term and long-term disability
• Life insurance and accidental death and dismemberment coverage
• Health Savings Account, Health Care Spending Account, and Dependent Care Spending Account
• Tuition assistance
• Short-term cash incentives, subject to plan requirements

What This Job Offers

• Job Type: Full-time
• Career Level: Senior