JM Family

JM Family

Enterprise Security AI Architect

Florida - Deerfield Beach

Sponsorship not specifiedDetected 31 days ago
OAuthMachine LearningLLMsAgentic AICybersecuritySOC OperationsComplianceSensorsZero TrustCommunicationMentoringCISSP

About the role

  • Some of these security functions are AI Engineering, AppSec, Identity, Cloud Security, Threat & Vulnerability Management, and Security Operations.

Responsibilities

  • Define and lead the enterprise AI security strategy and roadmap, ensuring secure and scalable adoption of AI capabilities across the organization.
  • Design and maintain enterprise reference architectures for AI solutions, covering SaaS AI, hosted models, GenAI, and AI-enabled applications.
  • Develop and operationalize secure AI design patterns (e.g., identity, data protection, model access, prompt security, output controls) that teams can reuse to accelerate delivery.
  • Drive AI Enablement and Securing Enterprise AI: define the secure, sanctioned ways teams use AI to build applications and agents-covering developer tooling (AI coding assistants, agentic IDEs), agent frameworks, MCP/tool integrations, and runtime guardrails-so engineering can adopt AI productively without bypassing security.
  • Build and maintain Threat Radars and AI risk intelligence, providing visibility into emerging threats, vulnerabilities, and industry trends impacting AI technologies.
  • Partner across enterprise architecture, engineering, data, product, GRC, and security functions including AI Enablement, AppSec, Identity, Cloud Security, Threat & Vulnerability Management, and Security Operations to embed AI security into governance processes (e.g., intake, design reviews, approval boards).
  • Provide architecture guidance and security oversight for AI use cases, ensuring solutions are secure-by-design and aligned with enterprise standards.
  • Translate complex AI security risks into clear, executive-level insights and recommendations to support informed decision-making.

Requirements

  • 15+ years of experience in cybersecurity, with a strong focus on enterprise security architecture within large, complex environments.
  • 5+ years of experience specifically in Enterprise AI Security Architecture, including securing AI/ML, GenAI, or data-driven platforms and services.
  • Proven expertise in designing and implementing enterprise-scale security architectures, including development of reference architectures, security standards, and reusable security patterns.
  • Proficient experience with industry security frameworks and standards (e.g., NIST, ISO 27001, CIS, MITRE ATT&CK), and ability to apply them in modern AI and cloud environments.
  • Expertise in cloud security and modern identity architectures (e.g., Zero Trust, SSO, OAuth/OIDC, RBAC/ABAC) across platforms such as Azure.
  • Solid knowledge of data security and privacy principles, including encryption, data classification, DLP, and regulatory considerations.
  • Experience influencing and defining enterprise security roadmaps and strategies, with the ability to align security initiatives to business priorities.
  • Experience evaluating and securing third-party vendors and platforms, including AI/SaaS solutions, with a risk-based approach.
  • Exemplary communication skills with the ability to translate complex technical risks into clear, executive-level insights and recommendations.
  • Deep understanding of AI/LLM security risks and controls, including areas such as data protection, model access, prompt security, output handling, and emerging threat vectors.
  • Experience securing AI-assisted software development and agentic systems, including AI coding assistants, agent frameworks, tool/MCP integrations, and the controls needed for safe enterprise use of AI in building applications and agents.
  • Demonstrated experience leading threat modeling initiatives and developing threat intelligence or threat radar capabilities specific to evolving technology domains.
  • Solid track record of partnering across Enterprise Architecture, Engineering, GRC, Data, Product, and other security functions (e.g., AI Enablement, AppSec, Identity, Cloud Security, Threat & Vulnerability Management, Security Operations) to embed security into design and delivery processes.

Nice to have

  • Bachelor's degree in computer science, Cybersecurity, Engineering, or equivalent experience
  • relevant certifications (CISSP, CCSP, SABSA, cloud security certifications) are a plus.

Skills

  • Enterprise Security AI Architect is responsible for designing, governing, and enabling secure adoption of AI across the enterprise.
  • This includes GenAI assistants and AI-enabled business applications.
  • It also ensures compliance with regulatory, privacy, and risk requirements.
  • These teams include Enterprise Architecture, Platform, Data, GRC, Product, and various security functions.
  • They should also be scalable and meet enterprise standards.
  • This integration helps teams work quickly while keeping risks low.
  • Your work will include enabling AI, which means safely adopting AI tools in the enterprise.

Visa & Work Authorization

  • tic protected by law – whether actual or perceived – including race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions
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This listing is sourced directly from JM Family's careers page and normalized into a canonical job model.