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REMOTE AI Security Analyst

Insight Global

Remote · USJobSeen 4 days agoSeen in employer's feed 4 days ago

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At a glance

Compensation
No compensation found
Location
Remote · US
Work Authorization
Not specified

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Job overview

The AI Security Analyst will evaluate security risks across AI platforms, agents, data integrations, APIs, MCP servers, and emerging technologies. The role advises engineering teams on secure architecture and governance, focusing on AI, data, application, and agentic risk rather than traditional infrastructure security. The ideal candidate understands cybersecurity and data/application architecture, assesses new technologies, and communicates opinions on complex AI security challenges.

Skills & qualifications

RequiredNice to have

Skills

CybersecurityApplication SecurityCloud SecurityAI/ML SystemsLLM ApplicationsData PipelinesAPIsCloud-Native ApplicationsAuthentication and AuthorizationAPI SecurityData Flow AnalysisApplication ArchitectureSecurity ReviewsRisk AssessmentsTechnical AdvisoryCommunicationGenerative AI SecurityRAG ApplicationsAI AgentsAI GatewaysMCP ServersNIST AI RMFOWASP Top 10 for LLMs/Agentic ApplicationsMITRE ATLASFERPAHIPAANIST 800-53/800-171SOC 2AI SecurityAgentic AIData GovernanceEmerging Technologies

Qualifications

3+ Years Cybersecurity ExperienceCISSPCSSLPGSECAWS Security SpecialtyAzure Security Certifications

Full job description

Job Description

Our client is seeking an AI Security Analyst to help secure its rapidly expanding AI ecosystem supporting 110,000+ students, faculty, and staff. This role will focus on evaluating security risks across AI platforms, agents, data integrations, APIs, MCP servers, and emerging AI technologies while advising engineering teams on secure architecture and governance. The ideal candidate understands both cybersecurity and data/application architecture, can quickly assess new technologies, and is comfortable forming and communicating opinions on complex AI security challenges. This is not a traditional infrastructure security role; the focus is on AI, data, application, and agentic risk.

Skills and Requirements

3+ years of experience in cybersecurity, application security, cloud security, or a related technical security role. Experience with AI/ML systems, LLM applications, data pipelines, APIs, or cloud-native applications. Strong understanding of application security, authentication/authorization, API security, and cloud security. Ability to analyze data flows, integrations, and application architectures to identify risk. Experience performing security reviews, risk assessments, or technical advisory work. Strong communication skills with the ability to explain technical risks to technical and non-technical stakeholders. Interest in AI security, agentic AI, data governance, and emerging technologies. Experience securing generative AI, RAG applications, AI agents, AI gateways, or MCP servers. Familiarity with NIST AI RMF, OWASP Top 10 for LLMs/Agentic Applications, or MITRE ATLAS. Knowledge of FERPA, HIPAA, NIST 800-53/800-171, SOC 2, or other compliance frameworks. Relevant certifications such as CISSP, CSSLP, GSEC, AWS Security Specialty, or Azure Security certifications.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

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