AI Security Engineer

Responsibilities

The AI Security Engineer designs, deploys, and maintains security controls to protect enterprise AI platforms and services. This role integrates security into the AI lifecycle, including monitoring for threats like prompt injection and unauthorized access.

Requirements

Candidates must have a bachelor's degree in a technical field or equivalent military/professional experience. A minimum of 5 years of experience in cybersecurity, cloud, or infrastructure engineering is required.

Skills

• Cybersecurity
• Cloud security
• Automation
• Identity management
• Data protection
• Microsoft Copilot
• Azure AI services
• Large language models
• Machine learning
• Prompt injection defense
• Python
• PowerShell
• Terraform
• API integration
• Security architecture
• Data loss prevention

Benefits

• Medical
• Dental
• Vision
• Wellness incentives
• Retirement benefits
• Paid vacation
• Paid sick days
• Paid personal leave
• Paid holidays
• Birth and adoption leave
• Parental leave
• Family and medical leave
• Bereavement leave
• Jury duty leave
• Military leave
• Short-term disability
• Long-term disability
• Life insurance
• Accidental death and dismemberment
• Health savings account
• Health care spending account
• Dependent care spending account
• Tuition assistance

About this role

About Carrier
Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, lifesaving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow on Carrier social media at @Carrier.
The AI Security Engineer is responsible for building, deploying, integrating, automating, and supporting security controls that protect Carrier's artificial intelligence ecosystem. This role works closely with Security Architecture, Cloud Security, Data Engineering, Platform Engineering, and Application Development teams to implement secure AI solutions, operationalize AI security controls, and embed security into enterprise AI platforms and services.

The successful candidate will possess strong technical skills in cybersecurity, cloud security, automation, identity, data protection, and AI technologies. This individual will engineer and support security capabilities that enable the secure adoption of Microsoft Copilot, Azure AI services, large language model (LLM) platforms, machine learning solutions, and emerging AI technologies.
Key Responsibilities
Design, build, deploy, configure, and maintain security controls supporting 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, cloud access security broker, security service edge, security information and event management, 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 that supports 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
Basic Qualifications
Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Engineering, Data Science, or any other technical discipline; or High school diploma or GED with 4 years of military experience or 1 year of direct AI security experience.
5+ years of experience implementing or supporting cybersecurity technologies in cloud, application, infrastructure, or security engineering environments
Preferred Qualifications
Knowledge of implementing and supporting security controls in Microsoft Azure, AWS, Google Cloud Platform, or comparable cloud environments
Proficiency with securing Microsoft Copilot, Azure AI Services, Azure OpenAI, Microsoft Purview, Microsoft Defender, Microsoft Sentinel, or related Microsoft technologies
Familiarity with data loss prevention (DLP), cloud access security broker (CASB), security service edge (SSE), security information and event management (SIEM), endpoint detection and response (EDR), identity, and cloud-native security controls
Capability 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, large language models (LLMs), retrieval-augmented generation (RAG), AI application architectures, and applicable AI security and governance frameworks, including 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
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Additional Information
Must have unrestricted authorization to work in the USA. No visa sponsoring available
Pay Range
The annual salary for this position is between $117,500.00 - $234,500.00 annually. Factors which may affect pay within this range include, but are not limited to, skills, education, experience, and other unique qualifications of the successful candidate. The pay range will not be below the minimum wage applicable to the jurisdiction in which the applicant is to be employed.
Other Compensation
This position is entitled to short-term cash incentives, subject to plan requirements.
Benefits
Employees are eligible for benefits, including:
Health Care Benefits: Medical, Dental, Vision; Wellness incentives
Retirement Benefits
Time off and Leave: Paid vacation days,...

About Carrier

Wholesale Building Materials · 10,001+ employees · headquartered in Palm Beach Gardens, Florida