AI Security Specialist

PNC

. Secure AI/ML applications, models, agents, and supporting infrastructure .

Posted 11/3/2026full-timeUnited StatesMid-LevelSenior💰 $91,000 - $185,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in securing AI/ML applications and infrastructure, with a strong focus on identity and access management, threat detection, and incident response. Proficient in analyzing security threats specific to AI systems and developing policies to mitigate vulnerabilities.

Highest-signal resume keywords

AI/ML Security ConceptsIdentity And Access Management (IAM)Cloud Identity Platforms (Microsoft Entra ID, AWS IAM)Security Monitoring And Detection Development (SIEM/XDR)Forensic Analysis (Network, Cloud, Identity, Application)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Security Incident ResponseThreat Detection And ResponseData Loss PreventionVulnerability RemediationSecurity AssessmentsOAuth 2.0OpenTelemetry (OTel)Privileged Access ManagementModel Context Protocol (MCP)MITRE ATLAS

Soft Skills

CollaborationAdvisory SkillsKnowledge Sharing

Tools & Technologies

SIEMXDRAPI PermissionsAccess TokensSecurity-Control Weaknesses

Certifications & Qualifications

Job-Specific Certification(s)

Industry Keywords

Regulatory RequirementsRisk Management Framework (NIST AI RMF)OWASP GuidanceEnterprise AI Adoption

Tech Stack

Tools & technologies

AWSCloud

About the role

Key responsibilities & impact

Secure AI/ML applications, models, agents, and supporting infrastructure
Identify, investigate, and respond to AI-specific threats including prompt injection, sensitive data exposure, malicious model or agent activity, unauthorized AI usage, and abuse of AI-integrated tools
Analyze LLM prompts, responses, and telemetry for malicious or anomalous activity
Investigate security activity involving AI agents, APIs, tools, model interactions, and agent-to-agent communications
Investigate identity-based threats involving users, applications, service accounts, AI agents, and non-human identities
Analyze excessive permissions, compromised credentials, token abuse, unauthorized access, and privilege escalation
Assess delegated and application permissions used by AI systems to access enterprise resources
Perform cloud, network, identity, and application forensic analysis
Conduct AI security incident response, containment, remediation, and reporting
Provide remediation guidance for vulnerabilities, excessive permissions, insecure configurations, and security-control weaknesses
Support security, risk, and regulatory requirements applicable to AI systems
Collaborate with AI developers, security engineering, identity teams, threat intelligence, incident response, and governance teams
Develop and tune detection rules for AI-related threats using identity, endpoint, network, cloud, and application telemetry
Apply security concepts, review information and logs, execute defined tasks, analyze requirements, and create documentation
Perform investigation, data loss prevention, data manipulation, and coordination of activities
Advise on complex security procedures and products
Participate in enforcement of security controls and share knowledge with staff
Conduct security assessments and information-security routines
Investigate and recommend corrective actions for data security
Develop policies and procedures to standardize security functions and eliminate vulnerabilities and threats
Ensure business needs are met during development

Requirements

What you’ll need

University/college degree, typically a Bachelor's degree
5+ years of industry-relevant experience
Comparable combination of education, job-specific certification(s), and experience, including military service, may be considered in lieu of a degree
Knowledge of AI/ML and generative AI security concepts
Identity and Access Management (IAM) and identity threat detection and response knowledge
Knowledge of OAuth 2.0, OpenTelemetry (OTel), access tokens, API permissions, and modern authentication
Experience with cloud identity platforms such as Microsoft Entra ID and AWS IAM
Knowledge of workload identities, service principals, managed identities, API keys, secrets, and certificates
Knowledge of privileged access management and least-privilege security principles
Knowledge of AI agents, APIs, tool integrations, and Model Context Protocol (MCP)
Security monitoring and detection development using SIEM/XDR technologies
Network, cloud, identity, and application forensics
Knowledge of MITRE ATLAS, OWASP guidance for LLM/GenAI applications, and NIST AI RMF
Knowledge of regulatory, risk, and security-control requirements associated with enterprise AI adoption
One or more relevant certifications preferred
No required certifications or licenses
No required or preferred language assessments
Must not require employment visa sponsorship; PNC will not participate in STEM OPT

Benefits

Comp & perks

Medical/prescription drug coverage with a Health Savings Account feature
Dental and vision options
Employee and spouse/child life insurance
Short- and long-term disability protection
401(k) with PNC match
Pension plan
Stock purchase plan
Dependent care reimbursement account
Back-up child/elder care
Adoption, surrogacy, and doula reimbursement
Educational assistance, including select programs fully paid
Robust wellness program with financial incentives
Maternity and/or parental leave
Up to 11 paid holidays each year
9 occasional absence days each year, unless otherwise required by law
15 to 25 vacation days each year, depending on career level
Incentive-eligible compensation based on company, business, and/or individual performance
Reasonable accommodations for applicants and qualified individuals with disabilities