AI Security Specialist

PNC Bank•Denver, CO

5d•Onsite

About The Position

PNC is hiring an AI Security Specialist within its Technology organization. The position is based in Pittsburgh, Pennsylvania; Cleveland, Ohio; Denver, Colorado; Phoenix, Arizona; or Birmingham, Alabama. The role helps protect PNC against emerging threats involving artificial intelligence, machine learning, generative AI, and autonomous AI agents. It combines AI security, threat detection, incident response, and forensic analysis to identify malicious or anomalous activity across AI applications, models, agents, identities, infrastructure, and supporting services. The specialist provides technical evaluation and analysis in a security area and supports activities, processes, and tools that improve the organization’s overall security posture. The role applies security concepts, reviews information and logs, executes defined tasks, analyzes requirements, and creates documentation. Responsibilities also include investigation, data loss prevention, data manipulation, risk and vulnerability mitigation, control review, and security assessments. Primary responsibilities do not include architecture or engineering. PNC describes itself as an in-office company and encourages candidates to discuss workplace expectations with their recruiter and hiring manager. PNC will not provide employment visa sponsorship or participate in STEM OPT for this position. The role is incentive eligible, with payment based on company, business, and/or individual performance.

Requirements

Typically requires a university or college degree and 5 or more years of industry-relevant experience.
A comparable combination of education, job-specific certifications, and experience, including military service, may be considered in lieu of a degree.
Demonstrate appropriate knowledge, skills, and abilities for the role.
Apply customer-focused practices and assess and manage risks in support of PNC’s Enterprise Risk Management Framework.

Nice To Haves

Knowledge of AI/ML and generative AI security concepts.
Experience with Identity and Access Management (IAM) and identity threat detection and response.
Knowledge of OAuth 2.0, OpenTelemetry (OTel), access tokens, API permissions, and modern authentication.
Familiarity 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.
Familiarity with AI agents, APIs, tool integrations, and Model Context Protocol (MCP).
Experience with security monitoring and detection development using SIEM/XDR technologies.
Knowledge of network, cloud, identity, and application forensics.
Familiarity with AI security frameworks and guidance, including 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. Examples include AI/security certifications GAIPT, GOAA, GMLE, AAISM, Microsoft Azure AI Fundamentals, or AWS Certified AI Practitioner; security operations, cloud, or identity certifications GCIH, Microsoft SC-200, or AWS Certified Security – Specialty; and digital forensics certifications CFCE, CHFI, or CDFE.
Preferred skills include access management, artificial intelligence techniques, cybersecurity, cyber threat intelligence, data manipulation, data security, IAM, information security, network security, security information, and security operations.
Preferred competencies include analytical thinking, effective communications, information assurance, information security management and technologies, IT environment, IT standards, procedures and policies, IT systems management, problem solving, and software security assurance.

Responsibilities

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 associated telemetry to identify 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 associated with AI applications and agents.
Assess the security implications of delegated and application permissions used by AI systems to access enterprise resources.
Perform cloud, network, identity, and application forensic analysis in support of AI security investigations.
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 to reduce AI-related risk.
Develop and tune detection rules for AI-related threats using identity, endpoint, network, cloud, and application telemetry.
Apply IAM concepts, including authentication, authorization, OAuth, tokens, service principals, workload identities, managed identities, privileged access, and least-privilege principles.
Review and define controls, help enforce security controls, and advise on complex security procedures and products.
Conduct security assessments and information security routines, investigate data-security issues, and recommend corrective actions.
Develop policies and procedures to standardize security functions and reduce potential vulnerabilities and threats.
Support business needs during development and share security knowledge with staff.

Benefits

Medical and 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 and stock purchase plans.
Dependent care reimbursement account.
Back-up child and elder care.
Adoption, surrogacy, and doula reimbursement.
Educational assistance, including select programs fully paid.
Wellness program with financial incentives.
Maternity and/or parental leave.
Up to 11 paid holidays each year.
Nine occasional absence days each year, unless otherwise required by law.
Between 15 and 25 vacation days each year, depending on career level and years of service.