AI Security Engineer Specialist

University of Miami•Miami, FL

25d•Onsite

About The Position

The UHealth-University of Miami Health System IT Department has an opportunity for a full-time AI Security Engineer Specialist to work at the Miller School of Medicine. The AI Security Engineer Specialist is a highly motivated and technically proficient Security AI & Automation Specialist with a strong foundation in AI prompt engineering to support and enhance our cybersecurity operations. As a specialized member of the Security Operations Center (SOC) at the University of Miami, the incumbent focuses on designing, deploying, and optimizing AI-driven workflows and agents—leveraging tools like Microsoft 365 Copilot and Security Copilot—to automate threat detection, streamline incident response, and improve operational efficiency. As a key member of the SOC team, this incumbent helps shape the future of AI-integrated security operations.

Requirements

Bachelor’s degree in Computer Science, Information Security, Engineering, or a related field required
Minimum 5 years of experience in cybersecurity and AI integration.
Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.
Ability to work collaboratively with others and contribute to a team environment.
Skilled in using office software, technology, and relevant computer applications.
Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders.
Any appropriate combination of relevant education, experience and/or certifications may be considered.

Nice To Haves

Master’s degree preferred
Microsoft Certified: Security Operations Analyst Associate preferred
Microsoft 365 Certified: Fundamentals preferred
Microsoft Copilot certification(s) preferred
GIAC Cyber Threat Intelligence (GCTI), CompTIA Security+, or equivalent certifications preferred

Responsibilities

Leverages AI tools (e.g., Microsoft Copilot 365, Security Copilot) to streamline security operations, automate documentation, and support incident response activities.
Develops and maintains AI prompts and workflows tailored for security use cases, including threat hunting, incident triage, and compliance reporting.
Integrates AI tools into daily security operations to enhance analyst productivity and reduce response times.
Designs, implements, and manages AI-based agents and automations for real-time alert enrichment, log analysis, and contextual threat intelligence.
Collaborates with SOC analysts, engineers, and GRC teams to identify automation opportunities and embed AI into existing security infrastructure.
Analyzes and correlates data from multiple sources using AI-assisted tools to detect threats and anomalies.
Creates dashboards and reporting tools (e.g., Splunk, Sentinel) that reflect AI-enhanced threat intelligence insights.
Monitors and evaluates the effectiveness of AI-enhanced security processes, continuously refining prompt strategies and automation logic.
Monitors, evaluates, and refines AI-enhanced security processes, prompt strategies, and automation logic.
Assists in developing and maintaining documentation, runbooks, and SOPs for AI-integrated workflows.
Participates in on-call rotations and provide advanced analysis support during critical incidents.
Stays current with emerging AI technologies and cybersecurity trends to ensure best-in-class practices.
Adheres to University and unit-level policies and procedures and safeguards University assets.
Other tasks as assigned.
This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.