Principal AI Security Automation Engineer

Are you ready to make an impact at DTCC?
Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.

The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.

Pay and Benefits:

• Competitive compensation, including base pay and annual incentive
• Comprehensive health and life insurance and well-being benefits, based on location
• Pension / Retirement benefits
• Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
• DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).

The Impact you will have in this role:

Being a member fo 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…