AI Security Architect (Azure)

TL;DR

AI Security Architect (Azure): Designing, implementing, and managing the security posture for AI and Machine Learning initiatives with an accent on LLM threat modeling and secure AI development lifecycle. Focus on building secure AI frameworks on Microsoft Azure, including securing Azure data/ML services and establishing AI vendor assessment and incident-response readiness.

Location: Remote (United States)

Company

hirify.global provides Specialty Revenue Cycle Management solutions for healthcare organizations using an intelligent automation platform.

What you will do

• Collaborate with IT and Development to design and integrate AI security tooling at the application level.
• Enhance security capabilities of the in-house application “Enforcer” using cutting-edge AI technologies.
• Establish a secure AI development lifecycle and define secure configuration standards for AI/ML tools, libraries, and platforms.
• Lead AI vendor assessment and onboarding requirements by managing and optimizing the TPRM platform.
• Serve as the central authority for vetting and recommending secure AI solutions across business units.
• Support incident response, threat modeling, and security architecture reviews for AI-related initiatives.

Requirements

• 5–7+ years of experience in a senior information security role.
• Demonstrable experience securing data services in the Microsoft Azure ecosystem, including Azure Data Lake Storage, Azure Databricks, and Azure Machine Learning.
• Deep understanding of LLM security challenges and controls, including prompt injection, data poisoning, and model theft.
• Strong understanding of secure software development lifecycle (SDLC) principles.
• Solid understanding of HIPAA and applicable compliance frameworks (SOC2, HITRUST).
• Ability to work effectively with technical and non-technical stakeholders and communicate security concepts clearly.

Culture & Benefits

• Remote workplace with a focus on cross-department collaboration across IT and Information Security.
• Opportunity to build AI security frameworks from the ground up and influence AI security strategy.
• Support for secure operations through incident response, threat modeling, and architecture reviews.
• Equal opportunity employer committed to a discrimination-free workplace.

Hiring process

• Application review and assessment may use AI tools to support the recruitment team, with final decisions made by humans.
• Interviews and evaluations focused on AI security expertise, Azure experience, and secure AI lifecycle ownership.