AI Security Architect; REMOTE

Enable Comp provides Specialty Revenue Cycle Management solutions for healthcare organizations, leveraging over 24 years of industry-leading expertise and its unified E360 RCM intelligent automation platform to improve financial sustainability for hospitals, health systems, and ambulatory surgery centers (ASCs) nationwide. Powered by proprietary algorithms, iterative intelligence from 10M+ processed claims, and expert human-in-the-loop integration, Enable Comp provides solutions across the revenue lifecycle for Veterans Administration, Workers' Compensation, Motor Vehicle Accidents, and Out-of-State Medicaid claims as well as denials for all payer classes.

By partnering with clients to supercharge the reimbursement process, Enable Comp removes the burden of payment from patients and provider organizations while enabling accelerated cash, higher and more accurate yield, clean AR management, reduced denials, and data-rich performance management. Enable Comp is a multi-year recipient the Top Workplaces award and was recognized as Black Book's #1 Specialty Revenue Cycle Management Solution provider in 2024 and is among the top one percent of companies to make the Inc.

5000 list of the fastest-growing private companies in the United States for the last eleven years.

Position Summary

We are seeking a forward-thinking and deeply technical AI Security Architect to lead our efforts in securely harnessing the power of Artificial Intelligence. As the AI Security Architect, you will be responsible for designing, implementing, and managing the security posture for all AI and Machine Learning initiatives across the organization. This is a pivotal role designed for an expert who is passionate about building secure AI frameworks from the ground up.

You will be the go-to authority for all matters related to AI security, working across departments to embed security into our AI strategy and operations.

• Collaborate directly with the IT & Development teams to design and integrate advanced AI security tooling at the application level.
• Take a leading role in enhancing the security capabilities of our flagship in-house application, "Enforcer," by leveraging cutting-edge AI technologies.
• Partner with our Development teams to establish a secure AI development lifecycle.
• Assist in the evaluation, selection, and secure configuration of AI/ML tools, libraries, and platforms to empower our developers while maintaining a robust security posture.
• Act as the central point of contact for vetting and suggesting secure AI solutions for business units across the entire organization.
• Develop and maintain a curated portfolio of approved AI tools and services that align with our security standards and business objectives.
• Stay at the forefront of the rapidly evolving AI landscape, including new technologies, emerging threats, and changing regulatory requirements (e.g., GDPR, CCPA as they relate to AI).
• Provide regular updates and strategic recommendations to leadership on AI-related security matters.
• Manage and optimize our TPRM platform.
• Leverage the platform to establish and streamline a comprehensive AI vendor assessment process, creating clear requirements for onboarding new AI partners and solutions.
• Contribute to the daily operations and strategic initiatives of the broader Information Security team.
• Assist in incident response, threat modeling, and security architecture reviews as needed.

• Bachelor's degree in computer science, Information Security, or a related field.
• 5-7+ years of experience in a senior information security role.
• Demonstrable experience working within the Microsoft Azure ecosystem, including securing data services like Azure Data Lake Storage, Azure Databricks, and Azure Machine Learning.
• Deep understanding of the security challenges and controls for Large Language Models (LLMs), including prompt injection, data poisoning, and model theft.
• Proven experience working in a dynamic business environment, particularly within a company undergoing a significant technological transformation.
• Strong understanding of secure software development lifecycle (SDLC) principles.