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.
The position serves as a key intermediary between AI Engineering, Security Engineering, and Security Operations (SOC), translating AI security capabilities into engineering requirements, integration strategies, and operational enablement. Primary focus areas include platform readiness, telemetry integration, detection engineering, automation, and governance.
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
- 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
- Reduce manual effort through system integrations and workflow automation
- 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
What are we looking for?We want strong collaborators who can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and are able to execute in a way that encourages creativity and continuous improvement
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
#LI-Hybrid
Pay Range: $128,647.00 - $214,343.00
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!
