Senior AI Security Analyst

Loyola Marymount University•Lewisboro, NY

3d•$89,100 - $120,400

About The Position

Loyola Marymount University Information Technology Services (ITS) seeks a forward-thinking Senior AI Security Analyst for a one-year term assignment. The position works at the intersection of artificial intelligence and cybersecurity, using AI to identify security weaknesses, protect AI systems, and automate security practices. The analyst partners with security, applications, and infrastructure teams to help ensure that Microsoft Copilot, internal chatbots, and third-party AI services are securely configured, responsibly used, and continuously monitored. The role advances effective AI governance and controls in support of ITS projects, programs, and services and the university’s mission. It encompasses AI security, cloud security, and information security work, including security monitoring, threat detection and hunting, vulnerability assessment, cloud protection, identity and access management, incident-response automation, and security reviews of AI tools and applications. The analyst also collaborates with university stakeholders to advance AI security, controls, and compliance. This is a staff fixed-term position. The stated salary range is $89,100–$120,400, commensurate with education and experience. The position may not be eligible for visa sponsorship now or in the future.

Requirements

Typically a bachelor’s degree or equivalent experience in computer science, information systems management, business administration, or a related field.
At least 3 years of cybersecurity, information security, or security operations experience.
Consecutive hands-on experience configuring and managing industry-leading network security systems and application, web, database, and endpoint security technologies, such as firewalls, IDS/IPS, SIEM, and endpoint security.
Experience using or supporting AI-enabled technologies and familiarity with related 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 security considerations for deploying AI in production.
Strong organizational, analytical, and problem-solving skills, including the ability to manage multiple priorities.
Excellent written and verbal communication skills and ability to engage technical and non-technical stakeholders and build collaborative relationships.
Ability to work independently and within cross-functional teams, motivating team members toward successful project outcomes.

Nice To Haves

Relevant certifications such as OSCP, CEH, CISSP, or emerging AI security credentials; CompTIA SecAI is mentioned as an example.
Background in threat intelligence or adversarial machine learning research.

Responsibilities

Use Microsoft Defender, Sentinel, Entra, and Copilot for SOC automation and alert tuning.
Implement AI-powered threat detection and security monitoring across endpoints, networks, cloud infrastructure, and applications.
Participate in security assessments, vulnerability testing, and threat simulations using approved tools and methodologies.
Use AI-enabled security tools to help identify vulnerabilities and security gaps.
Assess AI-enabled applications, APIs, and related technologies for security risks and compliance with established standards.
Develop and maintain security controls, detection logic, and monitoring to identify misuse or compromise of AI systems and AI-enabled applications.
Support secure configuration, policy enforcement, and access controls for organizational AI tools, including Copilot, Microsoft 365 Copilot, internal LLM chatbots, and third-party AI APIs.
Support implementation and monitoring of data loss prevention controls for approved AI technologies.
Track AI-security-related CVEs, research, and threat intelligence and translate findings into actionable mitigations.
Participate in security reviews of new AI tools and document risks, controls, and recommendations before implementation.
Embed security checkpoints into AI-augmented development workflows, ensuring tool-generated code is scanned, reviewed, and checked for common vulnerabilities.
Collaborate with the applications team to move AI-assisted security testing earlier in the SDLC.
Evaluate, implement, and optimize cloud threat protection capabilities, including AWS GuardDuty and Microsoft Defender for Cloud, and configure and integrate cross-platform security capabilities.
Strengthen cloud security posture using AWS Security Hub, Microsoft Defender, and AWS Inspector, including identifying, prioritizing, and remediating vulnerabilities in cloud and serverless workloads.
Expand cloud asset tagging, classification, and workload identification to improve inventory, ownership, 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.
Strengthen cloud identity and access management through least-privilege 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.
Evaluate existing security controls and recommend improvements based on threat intelligence, 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 potential organizational impact.
Conduct threat hunting using security telemetry, indicators of compromise, behavioral analytics, and AI-powered detection capabilities.
Partner with university stakeholders to advance AI security, controls, and compliance.
Exhibit behavior that supports the university’s mission, vision, and values; model professional, responsible, accountable, and ethical conduct; and demonstrate outstanding customer service.