AI Harness Junior Engineer

The Clearing House • Liberty, NY

6d • Hybrid

About The Position

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 works with AI models, security tools, cloud environments, and development platforms to improve vulnerability discovery, threat analysis, secure development, and remediation. It translates emerging AI capabilities into practical security solutions through AI harnesses, integrations, automation, and repeatable workflows, partnering with Information Security, Technology, Cloud, and Development teams to test new capabilities and bring successful use cases into secure, controlled operational use.

The Clearing House Payments Company L.L.C. is a bank-owned industry utility that provides payment infrastructure. Its operations include the CHIPS high-value wire-transfer system, the RTP instant payments system, the EPN automated clearinghouse network, the Image Exchange Network, a bank account number tokenization service, the TCH Payments Authority, and the ECCHO business line.

This individual contributor role has no people-management responsibilities. It combines AI and software engineering with practical cybersecurity problem solving, working with defined objectives and moderate autonomy. Candidates report to the office three days each week; onsite requirements may change. Travel may be required. The work is generally performed in an office environment with standard office equipment and generally favorable lighting and temperature, without hazardous or unpleasant conditions from noise or dust.

Requirements

• 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 monitoring.
• Strong troubleshooting and analytical skills, with the ability to independently prototype and test new technical solutions.
• Strong written and verbal communication skills.

Nice To Haves

• Hands-on experience with large language models (LLMs), AI agents, model APIs, or AI orchestration/harness technologies.
• Experience with Amazon Bedrock, Anthropic Claude, OpenAI models, or comparable enterprise AI platforms.
• Familiarity with agentic workflows, tool/function calling, prompt engineering, retrieval-augmented generation (RAG), and model evaluation.
• Experience with vulnerability management platforms, SIEM/XDR, endpoint security, application security tools, or cloud security platforms.
• Experience with Git, CI/CD pipelines, Jenkins or similar automation platforms, containers, and infrastructure-as-code.
• Familiarity with secure coding, vulnerability analysis, threat modeling, or attack-path analysis.
• Familiarity with NIST and other cybersecurity or AI risk management frameworks.

Responsibilities

• Build and maintain AI harnesses and workflows connecting 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 for AI models to interact securely with approved tools and data while maintaining access controls and human oversight.
• Test and evaluate AI models, tools, and techniques for potential cybersecurity applications.
• Help transition successful AI prototypes into repeatable, supportable operational capabilities.
• 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.
• Develop AI-assisted capabilities for 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.
• 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.
• Implement technical controls for 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.

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: Entry Level
• Education Level: No Education Listed