Lead Artificial Intelligence Cyber Security Engineer

Raymond James•Saint Petersburg, FL

18h•Hybrid

About The Position

The financial services industry is constantly under attack by sophisticated cyber adversaries that range from nation-states to criminals. In response, the Raymond James Cyber Threat Center (CTC) is charged with ensuring all equities are secure against all tiers of adversaries. We are the central hub for Computer Network Operations and are on the front lines of security incident response, threat hunting, and intelligence. You'll be working with emerging technologies to solve challenging security problems in a fast-paced and continually evolving environment while helping steer the direction and evolution of the team. This highly visible team within the organization evaluates threats to the environment and dynamically adjusts to the ever-changing threat landscape by applying practical security knowledge to developing new detective measures to protect the firm. The Lead Artificial Intelligence Cyber Security Engineer (SOAR/AI), is a key member of the Cyber Threat Center (CTC) responsible for driving the design, development, and operationalization of AI-enabled security capabilities within the organization. This role applies artificial intelligence (AI), machine learning (ML), and large language models (LLMs) to enhance threat detection, automate decision-making, and enable advanced cybersecurity use cases such as anomaly detection, threat hunting, and autonomous incident response. In addition, the engineer establishes and guides enterprise standards, policies, and governance frameworks for the responsible use of AI in cybersecurity, including model lifecycle management, risk mitigation, and compliance considerations. The role also leverages strong orchestration expertise and experience with ServiceNow to build and integrate intelligent automation solutions, utilizing technologies such as JavaScript, HTML, CSS, AngularJS, REST, and SOAP to support and scale security operations across the enterprise.

Requirements

Minimum of 6 years of programming experience with at least one modern language such as JavaScript or Python
Experience with API development and integration.
ServiceNow application and component development; Security Operations applications is preferred.
Experience in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies and DevSecOps

Nice To Haves

ServiceNow CSA
ServiceNow CAD
ServiceNow CIS-SIR
ServiceNow CIS-VR
CISSP
SANS GCIH (Incident Handler)
SANS GCIA (Intrusion Analyst)
Offensive Security Certified Professional (OSCP)

Responsibilities

Establish and guide enterprise standards for the responsible use of AI in cybersecurity, including governance, risk management, and compliance considerations.
Define and promote best practices for AI/ML model development, validation, deployment, and lifecycle management within security operations.
Develop, enhance, configure, and support ServiceNow Security Operations workflows, applications, integrations, forms, scripts, and custom artifacts.
Design, build, and maintain scalable automation solutions—including AI-enabled workflows—to improve threat detection, triage, and incident response efficiency.
Leverage Python programming and data science techniques to develop, operationalize, and optimize machine learning models and data-driven security use cases.
Develop and implement advanced data correlation, enrichment, and processing strategies leveraging automation, data science, AI/ML, and LLM capabilities for threat hunting and incident response analysis.
Apply AI engineering principles within security operations to design, deploy, and maintain intelligent detection and response capabilities.
Design and execute automated and intelligent response actions to validate, contain, eradicate, and remediate security incidents.
Architect, integrate, and operationalize AI and automation capabilities across security platforms and enterprise workflows.
Prototype, evaluate, and deploy emerging AI-driven technologies to enhance detection accuracy, reduce false positives, and accelerate response times.
Ensure Security Operations applications, automation pipelines, and incident ingestion processes remain healthy, resilient, and performant.
Drive continuous improvement by identifying gaps, recommending enhancements, and implementing innovative SOAR and AI-driven solutions.
Collaborate with incident response, threat intelligence, and threat hunting teams to strengthen detection and response capabilities.
Act as a technical SME and leader in SOAR and AI-driven cybersecurity, providing mentorship, strategic guidance, and continuously advancing technical expertise.