Lead Vulnerability Research Engineer - AI-Driven Security

Raymond James Financial, Inc.; Florida; Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Benefits package

Job summary

Raymond James Financial, Inc. is seeking a Lead Vulnerability Research Engineer in Florida to drive threat-focused vulnerability research across enterprise systems, APIs, and cloud services.

The role combines offensive security, software engineering, data analysis, and security automation to operationalize risk-based findings. The ideal candidate will apply AI-assisted techniques with rigorous human validation, collaborate across security and engineering teams, and mentor junior staff in a

Qualifications

• Typically requires five or more years of hands-on vulnerability research or security engineering.
• Proven experience with vulnerability management, exploit analysis, and remediation workflows.
• Strong programming skills in Python and at least one other language.
• Experience securing cloud-native apps and CI/CD pipelines.

Responsibilities

• Lead threat-focused vulnerability research across enterprise apps, APIs, OS, and cloud services.
• Develop safe detection and validation content and automate remediation workflows.
• Build production-quality automation ingesting data from scanners, inventories, and threat intel.
• Create threat-informed prioritization models considering asset criticality and exposure.
• Mentor engineers, set research standards, and govern AI-assisted workflows.

Skills

Threat-informed vulnerability research

Python

Automation & software engineering

CI/CD tooling integration

AI-assisted security tooling

Security risk communication

Cloud security (Azure/AWS/GCP)

Education

Bachelor's degree in Computer Science or related

5+ years vulnerability research or security engineering

Tools

GitHub

GitLab

Azure DevOps

Jenkins

Jira

OpenAI GPT models

Job description

Raymond James Financial, Inc. is seeking a Lead Vulnerability Research Engineer in Florida to drive threat-focused vulnerability research across enterprise systems, APIs, and cloud services.

The role combines offensive security, software engineering, data analysis, and security automation to operationalize risk-based findings. The ideal candidate will apply AI-assisted techniques with rigorous human validation, collaborate across security and engineering teams, and mentor junior staff in a