Principal Architect (AI Security)

Location: Remote - Nationwide, United States. Travel to and work onsite at client, temporary, or corporate office locations may be required as business needs arise.

Salary: $148,800–$223,200 annually, based on experience and geographic location.

Company

hirify.global provides technology-enabled revenue cycle management solutions and point solutions for hospitals and affiliated physician groups.

What you will do

• Define end-to-end security architecture for AI/ML systems, including training pipelines, inference infrastructure, model storage, and APIs.
• Develop threat models for AI-specific attack surfaces such as model poisoning, adversarial inputs, prompt injection, model inversion, and supply-chain risks.
• Lead high-impact design reviews and own the AI security roadmap in alignment with product goals, compliance requirements, and industry practices.
• Partner with ML engineers to embed security controls across the model lifecycle, from data ingestion through deployment and monitoring.
• Drive zero-trust, least-privilege, and defense-in-depth practices across AI infrastructure.
• Translate AI regulations and governance frameworks into architectural requirements and provide executive-ready risk assessments and mitigation plans.

Requirements

• 12+ years of information security experience, including at least 5 years focused on cloud or platform architecture.
• Hands-on expertise securing ML/AI systems, including LLMs, training pipelines, and model-serving infrastructure.
• Experience with adversarial ML, data poisoning, model extraction, and prompt injection.
• Cloud security experience with AWS, Azure, or GCP, including IAM, network segmentation, secrets management, and audit logging.
• Strong background in application security, cryptography, and secure software development lifecycle practices.
• Experience leading architectural decisions in large-scale engineering organizations and communicating complex risks to technical and executive audiences.

Nice to have

• Familiarity with the NIST AI RMF.
• CISSP, CCSP, or relevant cloud security certifications.
• Published research, conference talks, or open-source contributions in AI/ML security.

Culture & Benefits

• Remote work with travel and onsite work as required by business needs.
• Healthcare, paid time off, retirement, and well-being programs.
• Professional certification opportunities and tuition reimbursement.
• Quarterly and annual incentive programs.
• Culture focused on collaboration, growth, innovation, work-life flexibility, and purpose.