Enterprise Security AI Architect

Enterprise Security AI Architect is responsible for designing governing and enabling secure adoption of AI across the enterprise. This role defines and implements the security architecture for AI solutions. This includes GenAI assistants and AI-enabled business applications. It also ensures compliance with regulatory privacy and risk requirements.

You will work with many teams. These teams include Enterprise Architecture Platform Data GRC Product and various security functions. Some of these security functions are AI Engineering AppSec Identity Cloud Security Threat & Vulnerability Management and Security Operations. Your goal is to make sure that AI solutions are secure by design. They should also be scalable and meet enterprise standards. You will promote the secure use of AI for building applications and agents.

You will also help integrate AI security into architecture review boards the software development life cycle (SDLC) and DevSecOps. 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. It will also involve securing enterprise AI by protecting AI-enabled products applications and agents that we build.

This position operates in a hybrid work model based in Deerfield Beach FL (3 days per week onsite).

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.

• Establish and enforce AI security standards policies and guardrails ensuring consistent implementation across all AI initiatives.

• 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 agentscovering developer tooling (AI coding assistants agentic IDEs) agent frameworks MCP/tool integrations and runtime guardrailsso engineering can adopt AI productively without bypassing security.

• Lead and facilitate AI-focused threat modeling to identify risks such as data leakage prompt injection model abuse and expanded blast radius and define required mitigations.

• 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.

• Evaluate and assess third-party AI vendors and platforms providing clear risk-based recommendations to leadership.

• Enable teams through documentation patterns and coaching ensuring AI solutions can be delivered efficiently without increasing risk.

• Translate complex AI security risks into clear executive-level insights and recommendations to support informed decision-making.

Qualifications:

• 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.

• 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.

• 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.

• 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.

• 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.

• Bachelors degree in computer science Cybersecurity Engineering or equivalent experience; relevant certifications (CISSP CCSP SABSA cloud security certifications) are a plus.

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This job description may not be inclusive of all assigned duties responsibilities or aspects of the job described and may be amended at any time at the sole discretion of JM Family. All work arrangements are subject to associate performance business need and manager discretion and may be revised as necessary.

JM FAMILY IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER

JM Family Enterprises Inc. is an Equal Employment Opportunity employer. We are committed to recruiting hiring retaining and promoting qualified associates without regard any characteristic 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 and lactation) gender identity gender expression sexual orientation marital status military service veteran status disability protected medical condition as defined by applicable state or local law genetic information or any other characteristic protected by applicable federal state provincial or local law.

DISABILITY ACCOMMODATIONS

If you have a disability and require a reasonable accommodation to complete the job application process please contact JM Familys Talent Acquisition department at for assistance. If you have an accommodation request for one of our recruiting events please notify us at least 72 hours prior so that we may provide assistance.