AI Security Engineer

LPL Financial

. Establish and maintain AI security platform readiness across enterprise AI technologies .

Posted 5/22/2026full-timeAustin • California, North Carolina, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $128,647 - $214,343 per yearWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Establish and maintain AI security platform readiness across enterprise AI technologies
Validate functionality, configuration, and deployment readiness of AI security platforms and controls
Drive continuous optimization of AI security tooling, integrations, and engineering practices
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
Ensure interoperability between AI security controls and broader enterprise security tooling
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
Design and implement AI-assisted workflows using tools such as Claude, Cursor, and enterprise automation platforms
Develop scalable automation playbooks and orchestration processes to improve efficiency and consistency
Drive training and enablement across engineering teams for AI-assisted development and automation practices
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
Support security leadership with AI security strategy and planning
Drive cross-functional alignment across Security, Engineering, Risk, and Architecture teams

Requirements

What you’ll need

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

Benefits

Comp & perks

401K matching
health benefits
employee stock options
paid time off
volunteer time off

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI securitysecurity engineeringdetection engineeringautomation workflowscloud security monitoringtelemetryincident responsealerting logicintegrationgovernance frameworks

Soft Skills

communicationcollaborationtrainingenablementoptimizationstrategic planningcross-functional alignmentbest practices promotionrisk assessmentstakeholder engagement