Principal AI Security Platform & Harness Engineer

The Depository Trust & Clearing Corporation (DTCC); Jersey City (NJ); On-site; USD 180,000 - 260,000; Full time

Job summary

The Depository Trust & Clearing Corporation (DTCC) is seeking an experienced engineer to design, build, and operate AI-powered vulnerability scanning capabilities across large-scale applications and repositories. You will connect AI models with secure platform workflows, streamline integrations, and drive adoption across AppSec and engineering teams.

You will work at the intersection of Application Security, AI Engineering and Platform Engineering, shaping how DTCC uses AI to identify

Qualifications

• Minimum of 8 years of related experience.
• Bachelor's degree preferred or equivalent experience.
• Strong experience with Python and distributed systems.

Responsibilities

• Design, build and operate AI-powered vulnerability scanning harnesses and platform capabilities.
• Develop integrations with large language models and AI platforms.
• Create prompt frameworks, agent workflows and security-focused AI orchestration logic.
• Build scalable scanning infrastructure for large-scale repository and application analysis.
• Optimise harness performance, throughput, cost efficiency and model utilisation.
• Develop validation, verification and false-positive reduction mechanisms.
• Integrate AI scanning into software development and security workflows.
• Evaluate new AI models and scanning techniques.
• Develop tooling for scan execution, scheduling, orchestration and reporting.
• Enhance contextual analysis with security controls and remediation intelligence.
• Collaborate with AppSec, Vulnerability Operations and engineering teams.

Skills

Python

Distributed systems

LLM integration

Microservices

APIs

Data pipelines

CI/CD

Cloud deployments

AWS

Education

Bachelor's degree

Tools

Docker

Kubernetes

OpenShift

Git

Bitbucket

Jenkins

Jira

Job description

Being a member of IT Cybersecurity & Platform Strategy team, you will build and operate the next generation of AI-powered vulnerability discovery capabilities used to identify security weaknesses across thousands of applications and repositories. This role sits at the intersection of Application Security, AI Engineering and Platform Engineering. You will design, develop and scale AI scanning harnesses, agent frameworks and model integrations that enable large-scale security analysis using AI models. Your work will directly influence how DTCC leverages AI to discover exploitable vulnerabilities, validate findings, reduce false positives and accelerate security outcomes across the enterprise.

Your Primary Responsibilities:

• Design, build and operate AI-powered vulnerability scanning harnesses and supporting platform capabilities.
• Develop integrations with large language models and AI platforms.
• Create and maintain prompt frameworks, agent workflows and security-focused AI orchestration logic.
• Build scalable scanning infrastructure supporting large-scale repository and application analysis.
• Optimise harness performance, throughput, cost efficiency and model utilisation.
• Develop validation, verification and false-positive reduction mechanisms.
• Integrate AI scanning capabilities into software development and security workflows.
• Evaluate new AI models, scanning techniques and agentic security approaches.
• Develop supporting tooling for scan execution, scheduling, orchestration and reporting.
• Enhance contextual analysis by incorporating security controls, architecture data and remediation intelligence.
• Work closely with AppSec, Vulnerability Operations and software engineering teams to drive adoption.
• Contribute to secure platform design, isolation controls, monitoring and operational resilience.
• Support research and innovation in agentic AI, automated vulnerability discovery and AI-assisted security testing.

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 experience with strong emphasis on Python and distributed systems development
• Deep expertise building scalable software platforms, test harnesses, frameworks, or orchestration platforms
• Strong experience integrating Large Language Models through APIs and SDKs
• Experience building evaluation frameworks, benchmarking systems, automated testing platforms, or AI experimentation environments
• Experience designing and maintaining multi-model orchestration workflows across Claude, OpenAI, Bedrock, or equivalent platforms
• Strong experience developing microservices and APIs using Python and/or Java
• Experience building data processing pipelines, queue-based architectures, and event-driven systems
• Experience with Docker, Kubernetes, OpenShift, and cloud-native deployments
• Experience operating applications within AWS environments
• Experience building automated testing frameworks, regression suites, and validation pipelines
• Experience handling structured outputs, prompt engineering, model evaluation, and result normalization
• Experience designing scalable ingestion, correlation, and analysis pipelines
• Strong understanding of software engineering best practices, testing, observability, and operational excellence
• Experience with Git, Bitbucket, Jenkins, Jira, and modern CI/CD tooling

Preferred Qualifications

• Experience developing AI scanning harnesses, agent frameworks, or autonomous workflow systems
• Experience working with security scanning technologies and vulnerability discovery platforms
• Familiarity with application security concepts and vulnerability management processes
• Experience designing AI model evaluation and accuracy measurement frameworks