AVP Engineer, AI Security

Job Overview

The AI Security Engineer is responsible for securing enterprise AI platforms, AI-enabled applications, LLM technologies, and agentic workflows. This role ensures AI security technologies are operationally ready, integrated, and optimized to meet enterprise security and operational requirements.

Responsibilities

• Establish and maintain AI security platform readiness across enterprise AI technologies, ensuring tools, sensors, and monitoring capabilities are fully operational and optimized
• Validate functionality, configuration, and deployment readiness of AI security platforms and controls across cloud and endpoint environments
• Drive continuous optimization of AI security tooling, integrations, and engineering practices aligned with enterprise standards
• Define AI security engineering requirements to support SOC monitoring, detection, and response capabilities
• Develop and operationalize AI-specific detection use cases, alerting logic, and prevention workflows
• Enable integration of AI telemetry into SOC workflows and enterprise security operations
• Build and mature AI incident response processes and escalation procedures
• Partner with SOC teams to enhance detection engineering and overall operational effectiveness
• Integrate AI security technologies with enterprise platforms including SIEM, SOAR, EDR, CSPM, CNAPP, and logging systems
• Operationalize telemetry pipelines and observability standards for AI systems
• Improve visibility into AI applications, model usage, prompt activity, and agent behavior
• Partner with cloud and endpoint security teams to optimize cross-platform integrations
• Establish governance frameworks and enforce security controls for AI systems operating in regulated environments
• Ensure alignment with compliance, regulatory, and enterprise security requirements
• Support audit readiness and validation of AI security controls
• Define policies for AI usage, access, monitoring, and automation
• Support risk assessments for AI platforms, integrations, and workflows
• Identify opportunities to automate security engineering and SOC processes
• Develop and promote best practices for secure AI engineering workflows
• Create enablement materials, workshops, and repeatable standards for AI security adoption
• Communicate AI security capabilities, risks, and priorities to technical and executive stakeholders
• Drive cross-functional alignment across Security, Engineering, Risk, and Architecture teams

Requirements

• 5+ years of security engineering experience
• 3+ years supporting or partnering with Security Operations (SOC) functions
• 1+ year of experience with AI security technologies, LLM platforms, agentic systems, or AI-enabled workflows
• Experience in cloud security monitoring, telemetry, and detection engineering
• Experience building automation workflows and engineering solutions
• Experience working within enterprise or regulated environments

Core Competencies

• AI Security Engineering
• Security Platform Integration (SIEM/SOAR and related technologies)
• Cross-Platform Security Architecture
• Automation and Orchestration
• Ability to communicate technical concepts and strategies to executive stakeholders
• Experience integrating enterprise security platforms and operational tooling
• Strong understanding of SIEM, SOAR, and security operations concepts

Preferred Qualifications

• Experience with AI security monitoring platforms
• Experience securing enterprise AI or GenAI deployments
• Familiarity with AI-assisted engineering tools (e.g., Claude, Cursor)
• Knowledge of prompt security, model governance, and agentic workflows
• Experience in financial services or other regulated industries