AVP Engineer, AI Security

LPL Financial

Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TXFort MillCharlotteSan Diego
Salary
$128,647–$214,343 / yr
Posted
5 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $189k
This role $171k
$116k most similar roles pay here $243k

This role pays less than 60% of similar roles. Most pay $147,358–$230,706 — the shaded band above. At the midpoint, this role pays about $171k versus about $189k for comparable roles.

Based on 240 similar postings.

Employer

About LPL Financial

LPL Financial is the largest independent broker-dealer in the United States, providing brokerage and investment advisory services to independent financial advisors and financial institutions. Industry: Financial Services & Wealth Management

LPL Financial currently has 31 open roles on FindRole.

Listed pay typically runs $135,960–$226,600 across 31 roles with salary data.

Most-posted roles

View all roles at LPL Financial

At a glance

TL;DR · AVP Engineer, AI Security

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The AI Security Engineer role at LPL Financial is a senior position within the security engineering team, focusing on securing enterprise AI platforms and applications. This engineer will establish and maintain operational readiness for AI security technologies across cloud and endpoint environments, ensuring seamless integration with SIEM, SOAR, EDR, CSPM, CNAPP, and logging systems. Key responsibilities include defining security requirements for SOC monitoring, developing detection use cases, and automating workflows using tools like Claude and Cursor. The ideal candidate has 5+ years of security engineering experience, including at least one year in AI security technologies, with expertise in cloud security monitoring, telemetry, and automation. Strong competencies in SIEM/SOAR integration, cross-platform architecture, and communication with executive stakeholders are essential for this role that operates within a regulated financial services environment.

Skills

SIEM SOAR CSPM CNAPP EDR Claude Cursor Python Kubernetes AWS Azure GCP Terraform Docker CI/CD Prometheus Grafana PostgreSQL GitLab Ansible JSON YAML

What you'll do

  • Establish and maintain AI security platform readiness across enterprise technologies.
  • Validate functionality of AI security platforms in cloud and endpoint environments.
  • Drive continuous optimization of AI security tooling and engineering practices.
  • Define AI security requirements to support SOC monitoring and response capabilities.
  • Develop and operationalize AI-specific detection use cases and alerting logic.
  • Integrate AI telemetry into SOC workflows for enhanced operational effectiveness.
  • Establish governance frameworks for AI systems in regulated environments.

What we're looking for

  • 5+ years of security engineering experience and 3+ years in Security Operations (SOC) functions.
  • Experience with AI security technologies, LLM platforms, agentic systems, or AI-enabled workflows.
  • Proficiency in cloud security monitoring, telemetry, and detection engineering.
  • Background in building automation workflows and engineering solutions.
  • Strong understanding of SIEM, SOAR, and security operations concepts.
  • Ability to integrate enterprise security platforms and operational tooling.
  • Experience working within regulated environments preferred.

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