Lead AI Security & Harness Engineering

The Clearing House Payments Company; Town of Liberty (NY); On-site; USD 126,000 - 154,000; Full time

Benefits offered by this job

Medical, dental, vision

401k with company match

Tuition reimbursement

Job summary

The Clearing House Payments Company is seeking an Information Security Manager to lead AI security harness engineering and secure production workflows. You will partner with Security, Engineering, Cloud, and DevSecOps teams to integrate AI capabilities, ensure governance, and drive remediation validation across the SDLC.

The role emphasizes hands-on engineering, secure model access, data protection, logging, and human oversight to balance innovation with risk management.

Qualifications

• Hands-on engineering with Python and APIs for security tooling
• Experience with frontier AI models and AI security workflows
• Familiarity with cloud security and DevSecOps practices
• Understanding of secure coding, threat modeling, and vulnerability remediation

Responsibilities

• Design, build, and maintain AI harnesses and security workflows that connect AI models with security tools and data sources
• Engineer AI-enabled workflows for vulnerability discovery, threat modeling, and remediation validation
• Integrate AI capabilities with security platforms, cloud environments, pipelines, and telemetry
• Develop automated processes to identify, validate, and remediate vulnerabilities with governance and human review
• Collaborate with Security, Engineering, Cloud, and DevSecOps to embed AI security in the SDLC/CI-CD pipelines

Skills

Python

AI/LLM

AWS

CI/CD

Security engineering

Tools

Git

Jenkins

Containers

Job description

The Clearing House Payments Company is seeking an Information Security Manager to lead AI security harness engineering and secure production workflows. You will partner with Security, Engineering, Cloud, and DevSecOps teams to integrate AI capabilities, ensure governance, and drive remediation validation across the SDLC.

The role emphasizes hands-on engineering, secure model access, data protection, logging, and human oversight to balance innovation with risk management.