Manager, AI Security & Harness Engineering

The Clearing House • Liberty, NY

10d • Hybrid

About The Position

The Information Security Manager – AI Security & Harness Engineering leads the technical integration and operational use of advanced AI capabilities across the Information Security program. This hands-on engineering role builds secure AI harnesses, workflows, and automation to enable frontier AI models to analyze security data, identify vulnerabilities and attack paths, support threat hunting, evaluate source code and infrastructure, and accelerate validated remediation.

The role works closely with Information Security, Engineering, Cloud, and DevSecOps teams to move AI capabilities from experimentation into controlled, repeatable production workflows. It connects AI models with enterprise security tools and data sources while maintaining human oversight, security controls, testing, and governance.

The Clearing House Payments Company L.L.C. is a bank-owned industry utility providing infrastructure for payments. It operates the CHIPS, RTP, EPN, and Image Exchange Network payment systems, as well as other payment-related services and businesses.

Requirements

• Strong hands-on engineering experience with AI/LLM platforms, APIs, agent frameworks, or AI orchestration and harness technologies.
• Experience developing production solutions using Python and APIs, including integrations and automation across security platforms.
• Experience with frontier AI models and platforms such as Anthropic Claude, OpenAI models, Amazon Bedrock, or comparable enterprise AI platforms.
• Strong understanding of AI agents, tool use/function calling, retrieval-augmented generation (RAG), prompt engineering, model orchestration, and automated evaluation.
• Experience integrating AI or automation into cybersecurity, DevSecOps, vulnerability management, application security, or cloud security workflows.
• Strong AWS experience, including familiarity with IAM, networking, security services, APIs, logging, and infrastructure-as-code.
• Familiarity with SIEM/XDR, vulnerability management platforms, endpoint security, source code scanning, cloud security tools, and threat intelligence platforms.
• Understanding of software vulnerabilities, attack paths, secure coding practices, threat modeling, and vulnerability remediation.
• Experience with Git, CI/CD pipelines, Jenkins or similar automation platforms, containers, and modern software development practices.
• Ability to independently prototype capabilities and engineer successful prototypes into secure, documented, repeatable production workflows.
• Strong communication skills, including the ability to explain technical AI and cybersecurity concepts to security leadership, engineers, auditors, and risk stakeholders.
• Knowledge of security and risk frameworks such as NIST Cybersecurity Framework (CSF), NIST AI Risk Management Framework (AI RMF), and secure AI development practices.

Responsibilities

• Design, build, and maintain AI harnesses and agentic security workflows that securely connect advanced AI models with security tools, source code, infrastructure, and security data.
• Engineer AI workflows for vulnerability discovery, attack-path analysis, threat modeling, secure code analysis, threat hunting, and remediation validation.
• Integrate AI capabilities with security platforms, cloud environments, APIs, development pipelines, vulnerability management tools, and security telemetry.
• Develop automated processes to identify, validate, prioritize, and remediate security vulnerabilities, with appropriate human review and approval controls.
• Build repeatable testing frameworks that allow security teams to use multiple AI models and techniques to independently analyze and validate security findings.
• Partner with Application Development and DevSecOps teams to integrate AI-enabled security analysis into the SDLC and CI/CD pipelines.
• Develop AI-enabled capabilities to analyze AWS and other cloud environments for configuration weaknesses, vulnerabilities, privilege paths, and potential attack chains.
• Work with Security Operations and threat-hunting teams to develop AI-assisted alert analysis, suspicious-activity identification, and investigation workflows.
• Evaluate emerging frontier AI models, security tools, APIs, and agent frameworks for safe incorporation into the Information Security program.
• Establish technical safeguards for AI workflows, including access controls, data protection, logging, model and tool permissions, testing, validation, and human oversight.
• Measure the effectiveness of AI-enabled security capabilities, including improvements in vulnerability identification, remediation time, analyst productivity, and security coverage.
• Document architectures, workflows, operating procedures, and security controls supporting production AI capabilities.
• Support regulatory, audit, and risk management reviews and demonstrate that AI-enabled security implementations meet established security and governance requirements.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• 401(k) plan with company contribution and company match
• Tuition reimbursement
• Discretionary incentive compensation may be awarded for eligible positions, contingent on personal and company performance

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed