Principal AI Security Automation Engineer

The Depository Trust & Clearing Corporation (DTCC); Jersey City (NJ); On-site; USD 140,000 - 200,000; Full time

Job summary

DTCC is seeking an experienced IT Cybersecurity & Platform Engineer to shape AI-powered security across the enterprise. You will build automation, integrations and workflows that enable vulnerability discovery and remediation at scale.

Responsibilities include designing AI-assisted workflows, integrating AI scanning outputs with ASPM and CI/CD, and developing dashboards and APIs for security decision making.

Qualifications

• Minimum of 8 years of related experience.
• Bachelor's degree preferred and/or equivalent experience.

Responsibilities

• Design automation workflows supporting AI-powered vulnerability discovery and remediation.
• Develop integrations between AI scanning platforms, security tools and SDLC platforms.
• Build and maintain ingestion, normalization and enrichment pipelines for findings.
• Integrate AI outputs into ASPM, vulnerability management and developer workflows.
• Develop automated triage, prioritization and remediation orchestration capabilities.
• Create dashboards, metrics and reporting to support security decisions.

Skills

Python development

DevSecOps

Application Security

CI/CD integration

REST APIs

AI/LLM platforms

Education

Bachelor's degree or equivalent experience

Tools

Docker

Kubernetes

OpenShift

AWS Security Services

Job description

Being a member for IT Cybersecurity & Platform Engineering team, you will help shape the future of AI-powered cyber security at DTCC by building the automation, integrations and workflows that enable vulnerability discovery and remediation at enterprise scale. Working across Application Security, Vulnerability Operations, Cloud Engineering and Development teams, you will develop intelligent pipelines that ingest, enrich, prioritize and operationalize findings from next-generation AI security tooling. Your work will directly influence DTCC's ability to identify and remediate security risks faster, reduce manual effort, and transform vulnerability management through automation, orchestration and AI-driven decision support.

Your Primary Responsibilities:

• Design and implement automation workflows supporting AI-powered vulnerability discovery and remediation.
• Develop integrations between AI scanning platforms, security tools and SDLC platforms.
• Build and maintain findings ingestion, normalization and enrichment pipelines.
• Integrate AI scanning outputs into ASPM, vulnerability management and developer workflows.
• Develop automated triage, prioritization and remediation orchestration capabilities.
• Create dashboards, metrics and reporting capabilities supporting security decision-making.
• Build APIs and automation services connecting security tooling across the enterprise.
• Partner with AppSec, Vulnerability Operations and Development teams to operationalize findings.
• Improve scanning efficiency through workflow optimization and intelligent automation.
• Support secure deployment and operation of AI-based security capabilities.
• Contribute to governance, auditability and operational controls for AI-driven security processes.
• Evaluate emerging AI security technologies and identify opportunities for automation.

**NOTE: The Primary Responsibilities of this role are not limited to the details above. **

Qualifications:

• Minimum of 8 years of related experience
• Bachelor's degree preferred and/or equivalent experience

Talents Needed for Success:

• 6+ years of software engineering, DevSecOps, Application Security, or security automation experience
• Strong hands-on development experience in Python, with the ability to develop production-grade security tooling, automation frameworks, and integrations
• Experience designing and operating application security tooling including SAST, DAST, SCA, secrets scanning, ASPM, or vulnerability management platforms
• Experience integrating security controls into CI/CD pipelines and developer workflows
• Strong understanding of secure software development practices, OWASP Top 10, secure coding, threat modelling, and vulnerability remediation
• Experience developing API integrations using REST APIs, SDKs, and event-driven architectures
• Experience working with AI/LLM platforms such as Claude, OpenAI, Bedrock, or similar
• Experience building automated workflows for vulnerability discovery, triage, prioritization, and remediation
• Experience with containerized environments using Docker, Kubernetes, and OpenShift
• Familiarity with AWS security services, IAM, Security Hub, GuardDuty, and cloud-native security controls
• Experience with CI/CD and SDLC tooling including Git, Bitbucket, Jira, Jenkins, GitHub Actions, Maven, and related platforms
• Understanding of AI security risks including prompt injection, model abuse, AI supply chain security, and agent security
• Experience working in Agile delivery environments

Preferred Qualifications

• CISSP, TAISE, OSCP, CSSLP, or similar certifications
• Experience with Apiiro, Veracode, SonarQube, Semgrep, Burp Suite, or comparable security platforms
• Experience implementing policy-as-code or security guardrails within engineering platforms
• Experience supporting enterprise-scale vulnerability management programmers

The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.