AI Security Architect

EnableComp

AI Security Architect driving security initiatives within AI and Machine Learning for healthcare organizations. Leveraging over 24 years of industry experience in specialty revenue cycle management solutions.

Posted 5/19/2026full-timeRemote • Tennessee • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzureSDLC

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI security toolingAI development lifecycleAI/ML toolssecure software development lifecycleLarge Language Models (LLMs)data poisoningmodel theftincident responsethreat modelingsecurity architecture

Soft Skills

collaborationleadershipstrategic recommendationscommunicationproblem-solvingadaptabilityorganizational skillscritical thinkingvendor assessmentportfolio management

Certifications

Bachelor’s degree in computer scienceBachelor’s degree in Information SecurityBachelor’s degree in related field