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Enterprise CyberSecurity AI Architect

ALIS SoftwareUnited States🇺🇸United StatesPosted 1 Sept 2026

Why This Role Stands Out

This hybrid role offers an exceptional opportunity to shape the future of cybersecurity by architecting AI-driven security solutions, particularly within the impactful healthcare sector. You'll thrive here if you possess extensive cybersecurity experience combined with a passion for AI security, allowing you to lead critical initiatives and grow your expertise at a reputable company. Apply now to become an AI Security Subject Matter Expert and drive innovation in a collaborative environment.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
1 week ago
AWSMachine LearningAzureGenerative AIGoogle CloudHIPAA

Job Description

Role: Enterprise Security AI Architect

Experience Required: 10+ Years in Cybersecurity/Information Security and 3+ Years in AI Security

Domain Preference: Healthcare (Strongly Preferred)
What the Client is Looking For
Client is looking for a Senior Security Architect with strong AI Security expertise who can lead security governance, architecture, and risk management for enterprise AI initiatives.
The candidate will act as the AI Security Subject Matter Expert (SME) and work closely with Security, Enterprise Architecture, Data & Analytics, Legal, Compliance, Privacy, and Technology teams to ensure AI solutions are secure, compliant, and aligned with business and regulatory requirements. 
The ideal candidate should have experience securing:
  • Generative AI solutions
  • Large Language Models (LLMs)
  • Agentic AI
  • Machine Learning platforms
  • AI-powered SaaS products
  • Cloud environments (Azure, AWS, Google Cloud Platform) 
Primary Skills Required (Share with Candidates)
Must-Have Skills
✅ AI Security Architecture
✅ Generative AI & Large Language Models (LLMs)
✅ AI Governance & Risk Management
✅ Security Risk Assessments
✅ Cloud Security (Azure, AWS, Google Cloud Platform)
✅ Identity & Access Management (IAM)
✅ Data Protection & Privacy Controls
✅ Threat Modeling
✅ AI Security Controls & Frameworks
✅ AI Security Risks:
  • Prompt Injection
  • Model Poisoning
  • Data Leakage
  • Adversarial AI Attacks
  • AI Supply Chain Risks
✅ Enterprise Security Architecture
✅ Security Governance & Compliance
✅ NIST AI Risk Management Framework
✅ NIST Cybersecurity Framework
✅ HIPAA, HITRUST, SOC2 knowledge (preferred)
Key Responsibilities
  • Design and implement AI security architecture and governance frameworks.
  • Perform AI-focused security risk assessments.
  • Define security standards and controls for AI solutions.
  • Conduct threat modeling for AI applications.
  • Review AI vendors, products, and third-party solutions.
  • Guide engineering teams on secure AI development practices.
  • Educate security and technology teams on AI security best practices.
  • Act as the organization's primary AI Security Advisor.
 

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