AI Harness Junior Engineer

The Clearing House Payments Company L.L.C.; Town of Liberty (NY); Presencial; USD 90.000 - 130.000; Jornada completa

Descripción de la vacante

The AI Harness Junior Engineer at The Clearing House Payments Company L.L.C. is a hands-on contributor responsible for building, integrating, and operating AI-enabled capabilities within the Information Security program.

You will work with advanced AI models, security tools, cloud environments, and development platforms to improve vulnerability discovery, threat analysis, secure development, and remediation, translating AI capabilities into practical security solutions.

Formación

• 1-5 years of experience in software engineering, cybersecurity engineering, cloud engineering, DevSecOps, AI/ML engineering, or related field.
• Hands-on programming or automation experience, preferably using Python.
• Experience with APIs and integrating different technology platforms and data sources.
• Experience with cloud environments, preferably AWS.
• Working knowledge of cybersecurity concepts, including vulnerabilities, access controls, secure development, logging, and security.

Responsabilidades

• Build and maintain AI harnesses and workflows that connect advanced AI models with security tools, data, source code, and cloud environments.
• Develop integrations using APIs, Python, and other automation technologies to incorporate AI into existing security processes.
• Build workflows that allow AI models to securely interact with approved tools and data while maintaining appropriate access controls and human oversight.
• Test and evaluate new AI models, tools, and techniques for potential cybersecurity applications.
• Help transition successful AI prototypes into repeatable and supportable operational capabilities.

Conocimientos

API integration

Cloud engineering

Cybersecurity concepts

Herramientas

Python

AWS

Descripción del empleo

Job Summary

The AI Harness Junior Engineer is a hands‑on individual contributor responsible for building, integrating, and operating AI‑enabled capabilities within The Clearing House's Information Security program.

The role will work directly with advanced AI models, security tools, cloud environments, and development platforms to improve vulnerability discovery, threat analysis, secure development, and remediation.

This position will help translate emerging AI capabilities into practical security solutions by developing AI harnesses, integrations, automation, and repeatable workflows. The engineer will partner with Information Security, Technology, Cloud, and Development teams to test new capabilities and move successful use cases into secure, controlled operational use.

About The Clearing House:

The Clearing House Payments Company L.L.C. is a bank‑owned industry utility that shapes the payments landscape and provides infrastructure for safe, reliable, and efficient payments. We see an economy where everyone is connected and a future where modern payments make life easier. The Clearing House operates four payment systems: a high‑value wire‑transfer system (the CHIPS® network), the country's first and largest instant payments system (the RTP® network), an automated clearinghouse network (the EPN® network), and a check image exchange network (the Image Exchange Network). TCH also operates a bank account number tokenization service, runs a payments association known as the TCH Payments Authority, and maintains the rules for private‑sector check image exchange through its ECCHO® business line.

Key Responsibilities

AI Engineering & Integration

• Build and maintain AI harnesses and workflows that connect advanced AI models with security tools, data, source code, and cloud environments.
• Develop integrations using APIs, Python, and other automation technologies to incorporate AI into existing security processes.
• Build workflows that allow AI models to securely interact with approved tools and data while maintaining appropriate access controls and human oversight.
• Test and evaluate new AI models, tools, and techniques for potential cybersecurity applications.
• Help transition successful AI prototypes into repeatable and supportable operational capabilities.

Security Automation & Vulnerability Management

• Develop AI‑enabled workflows to identify, analyze, validate, prioritize, and support remediation of security vulnerabilities.
• Use AI to analyze infrastructure, application code, configurations, and security findings for potential vulnerabilities and attack paths.
• Develop automation to accelerate vulnerability validation and remediation while maintaining appropriate human review.
• Support repeated and continuous analysis of systems and code rather than relying solely on point‑in‑time security assessments.
• Help measure improvements in vulnerability coverage, remediation speed, and operational efficiency.

Threat Analysis & Security Operations

• Develop AI‑assisted capabilities supporting threat hunting, alert investigation, threat modeling, and security analysis.
• Integrate AI capabilities with security telemetry and existing security platforms to help analysts investigate and understand security events.
• Work with security teams to identify manual or repetitive activities that can be safely automated or augmented using AI.
• Develop testing and validation processes to measure the accuracy and effectiveness of AI‑generated security findings.

Cloud, Development & DevSecOps Integration

• Support integration of AI‑enabled security capabilities into AWS environments and software development workflows.
• Work with Development and DevSecOps teams to incorporate AI‑assisted security analysis into CI/CD pipelines.
• Build integrations with source code repositories, vulnerability management platforms, cloud security tools, and other approved enterprise technologies.
• Support secure deployment and operation of AI capabilities within controlled enterprise environments.

AI Security & Governance

• Implement technical controls supporting secure AI use, including access controls, logging, data protection, tool permissions, testing, and validation.
• Maintain documentation of AI workflows, integrations, architectures, and operating procedures.
• Support security, risk, audit, and governance reviews of AI‑enabled capabilities.
• Help ensure AI implementations operate within established enterprise security and AI governance requirements.

Qualifications Required

• 1-5 years of experience in software engineering, cybersecurity engineering, cloud engineering, DevSecOps, AI/ML engineering, or a related technical field.
• Hands‑on programming or automation experience, preferably using Python .
• Experience working with APIs and integrating different technology platforms and data sources.
• Experience with cloud environments, preferably AWS .
• Working knowledge of cybersecurity concepts, including vulnerabilities, access controls, secure development, logging, and security