Principal AI Security Platform & Harness Engineer

2 months ago

Jersey City, NJ, USAStaff+

Responsibilities

Design, build, and operate AI-powered vulnerability scanning harnesses and supporting platform capabilities.
Develop LLM integrations, prompt frameworks, agent workflows, and security-focused AI orchestration logic.
Build scalable scanning infrastructure, ingestion pipelines, queue-based architectures, and event-driven systems for repository and application analysis.
Create validation, verification, benchmarking, automated testing, regression, and false-positive reduction mechanisms.
Develop tooling for scan execution, scheduling, orchestration, reporting, monitoring, and operational resilience.
Integrate AI scanning capabilities into software development and security workflows.
Evaluate AI models, scanning techniques, agentic security approaches, and model accuracy.
Collaborate with AppSec, Vulnerability Operations, and software engineering teams to drive adoption.

Minimum of 8 years of related experience.
At least 6 years of software engineering experience with strong Python and distributed systems development experience.
Deep expertise building scalable software platforms, test harnesses, frameworks, or orchestration platforms.
Strong experience integrating large language models through APIs and SDKs.
Experience with evaluation frameworks, benchmarking systems, automated testing platforms, or AI experimentation environments.
Experience designing multi-model orchestration workflows across Claude, OpenAI, Bedrock, or equivalent platforms.
Strong experience developing Python and/or Java microservices and APIs.
Experience with data processing pipelines, queue-based architectures, event-driven systems, Docker, Kubernetes, OpenShift, AWS, and cloud-native deployments.
Experience building automated testing frameworks, regression suites, validation pipelines, structured-output workflows, prompt engineering, model evaluation, and result normalization.
Experience with Git, Bitbucket, Jenkins, Jira, and modern CI/CD tooling.
Preferred experience developing AI scanning harnesses, agent frameworks, autonomous workflow systems, security scanning technologies, vulnerability discovery platforms, and AI model evaluation frameworks.
A bachelor's degree is preferred, with equivalent experience also accepted.

Flexible hybrid work model with three days onsite and two days remote, with onsite days including Tuesdays, Wednesdays, and a third team- or employee-specific day.
Competitive compensation including base pay and annual incentive.
Comprehensive health and life insurance and well-being benefits based on location.
Pension and retirement benefits.
Paid time off, personal and family care, and other leaves of absence.
Professional development investment and reasonable accommodation support.

5,001-10,000 employees