Overview:
LMU Information Technology Services (ITS) enables technologically rich learning environments, provides effective teaching and scholarship resources and maintains reliable, accessible, and integrated information systems. This work is grounded in and supports University’ mission:
• The encouragement of learning
• The education of the whole person
• The service of faith and the promotion of justice

This position advances this mission through a relentless commitment to creating great experiences for LMU’s students, faculty, and staff. Effective AI governance and controls is a critical success factor in the delivery of ITS projects, programs, and services.


Position Summary:
This position is for a one‑year term assignment. We are looking for a forward-thinking Senior AI Security Analyst to sit at the intersection of artificial intelligence and cybersecurity. This is not a traditional security role, you will use AI offensively to find our weaknesses before adversaries do, secure the AI systems we depend on, and embed intelligent automation into every layer of our security practice.

You will partner closely with the security, applications, and infrastructure teams to ensure that AI tools like Microsoft Copilot, internal chatbots, and third-party AI services are configured securely, used responsibly, and continuously monitored. If you are energized by the idea of turning AI into both a weapon and a shield, this role is built for you.

Senior AI Security Analyst is a one‑year term position.

Position Specific Responsibilities/Accountabilities:

AI SECURITY

• Leverage AI for SOC automation and alert tuning with Microsoft tools (Defender, Sentinel, Entra, and Co-pilot).
• Implement AI-powered threat detection and security monitoring across the full technology environment, including endpoints, networks, cloud infrastructure, and applications.
• Participate in security assessments, vulnerability testing, and threat simulations utilizing approved security tools and methodologies.

• Utilize AI-enabled security tools to assist in identifying potential vulnerabilities and security gaps.

• Assist in evaluating AI-enabled applications, APIs, and related technologies for security risks and compliance with established security standards.

• Work with the Information Security team to develop and maintain security controls, detection logic, and monitoring capabilities to identify misuse or compromise of AI systems and AI-enabled applications.

• Support the security configuration, policy enforcement, and access controls for organizational AI tools including Copilot, Microsoft 365 Copilot, internal LLM chatbots, and third-party AI APIs.

• Support the implementation and monitoring of data loss prevention (DLP) controls related to approved AI technologies.

• Track emerging CVEs, research publications, and threat intelligence related to AI security and translate findings into actionable mitigations.

• Participate in security reviews of new AI tools and assist with documenting risks, controls, and recommendations prior to implementation.

• Embed security checkpoints into AI-augmented development workflows, ensuring code generated by tools such as Copilot is scanned, reviewed, and free of common vulnerabilities.

• Collaborate with the applications team to shift AI-assisted security testing left, reducing the cost and impact of vulnerabilities discovered late in the SDLC.

CLOUD SECURITY

• Evaluate, implement, and optimize cloud threat protection capabilities, including AWS GuardDuty and Microsoft Defender for Cloud, with cross-platform security configuration and integration.

• Strengthen cloud security posture through AWS Security Hub, Microsoft Defender, and AWS Inspector, including vulnerability identification, prioritization, and remediation for cloud and serverless workloads.

• Expand cloud asset tagging, classification, and workload identification to improve asset inventory, ownership, security visibility, and risk management.

• Develop and maintain security automation for incident response and remediation, including automated agent deployment and updates, security control enforcement, and alert notifications.

• Strengthening cloud identity and access management through least-privilege access controls, IAM policy analysis, AWS IAM Access Analyzer, role governance, and periodic access reviews.

• Implement and optimize web application security controls, including AWS WAF, to protect cloud-hosted applications and APIs from common and emerging web-based threats.

INFORMATION SECURITY

• Evaluate the effectiveness of existing security controls and recommend improvements based on threat intelligence, security incidents, vulnerability trends, and changes in the technology environment.

• Develop security automation and workflows to improve incident response, vulnerability remediation, alert triage, and other repetitive security operations.

• Analyze threat intelligence, emerging vulnerabilities, attack techniques, and adversary tactics to assess their potential impact on the organization.

• Conduct threat hunting using security telemetry, indicators of compromise, behavioral analytics, and AI-powered detection capabilities to identify emerging threats.

• Partner with university stakeholders on advancing AI security, controls and compliance for the university.

Loyola Marymount University Expectations

Exhibit behavior that supports the mission, vision, and values of the university. Communicate and employ interpersonal actions that model high standards of professional, responsible, accountable, and ethical conduct. Demonstrate a commitment to outstanding customer service.

Requisite Qualifications:

• Typically a bachelor’s degree or equivalent experience in computer science, information systems management, business administration, or a related field. Relevant certifications: OSCP, CEH, CISSP, or emerging AI security credentials a plus. (CompTIA SecAI)
• Minimum 3 years experience of cybersecurity, information security or security operations experience.  Consecutive hands-on experience configuring and managing industry leading network security systems, application, web, database, and end-point security technologies such firewalls, IDS/IPS, Security Event and Information Management (SIEM), end-point security.  Experience using or supporting AI-enabled technologies and familiarity with associated security and governance considerations.
• Experience with Microsoft Defender, Copilot, and AWS cloud.

• Knowledge of AI governance frameworks such as NIST AI RMF, ISO 42001, or the EU AI Act.

• Familiarity with MLOps pipelines, model registries, and the security considerations of deploying AI in production.

• Background in threat intelligence or adversarial machine learning research.

• Strong organizational, analytical, and problem-solving skills, with the ability to manage multiple priorities simultaneously.
• Excellent written and verbal communication skills, capable of engaging technical and non‑technical stakeholders and building collaborative relationships.
• Demonstrated ability to work independently and within cross‑functional teams, motivating team members toward successful project outcomes.

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of this position.

#HERC# #HEJ#

Staff Term (Fixed Term)

Salary range

$89,100.00 - $120,400.00 Salary commensurate with education and experience.

Please note that this position may not be eligible for visa sponsorship now or in the future.

Loyola Marymount University, a Carnegie classified R2 institution in the mainstream of American Catholic higher education, seeks outstanding applicants who value its mission and share its commitment to inclusive excellence, the education of the whole person, and the building of a just society. LMU is an equal opportunity employer committed to providing an environment free from discrimination and harassment as defined by federal, state and local law. We invite all persons in the full diversity of their being, life experience, and beliefs to apply. (Visit www.lmu.edu for more information.)

LMU is committed to providing equal access to employment opportunities and ensuring a comprehensive recruitment and selection process for all applicants.

 

Individuals who require a reasonable accommodation to participate in any stage of the application, interview, or selection process may contact Human Resources at hr@lmu.edu or by phone at (310) 338-2723. Applicants who use relay services or other assistive communication technologies are welcome to utilize those services when contacting Human Resources.

 

When contacting Human Resources, please include the job posting number, title of the position and department for which you are applying. Applicants are not required to disclose the nature of a disability or provide medical information when requesting an accommodation during the recruitment process.

 

LMU will work with applicants in a timely and interactive process to identify and provide reasonable accommodations consistent with applicable federal and state law.