Sr Enterprise AI Security Architect

WEX•Boston, MA

4d•Remote

About The Position

WEX, Inc. is seeking a Senior Enterprise AI Security Architect to help define the vision, strategy, and provide technical leadership for defining the security strategy, architecture, and governance for Artificial Intelligence (AI) and Machine Learning (ML) across the global enterprise. This individual will serve as a high-level visionary, bridging the gap between business requirements and technical security execution. You will be responsible for designing resilient security architectures that protect WEX’s global assets and people, ensuring robust compliance, while enabling rapid innovation. The successful candidate will serve as a subject matter expert (SME), bridging the gap between Data Science, Software Engineering, and Cyber Security to build a robust Secure AI ecosystem. We’re the Global Information Security Team at WEX, responsible for implementing and operating security technologies and processes throughout WEX. We don’t just operate security tools; we engineer trust. Our team partners with executive leadership and cross-functional engineering groups to ensure WEX is secure by design. We hold ourselves to a high standard of architectural excellence, ensuring that our security posture is proactive, scalable, and resilient. We are looking for a Senior Enterprise AI Security Architect that is responsible for ensuring the secure function of software development, infrastructure deployment, and regulatory alignment.

Requirements

10+ years of experience in information security
3+ years in an enterprise security architecture role with a focus on emerging technologies
Deep expertise in enterprise security architecture, including designing secure patterns for infrastructure, cloud, network, and identity as they relate to AI model hosting and agentic execution environments
Strong practical understanding of modern cloud and hybrid infrastructure (AWS, Azure), networking, and security engineering principles
Extensive experience designing solutions that meet security, compliance, and business requirements for generative AI and autonomous systems
Strong working knowledge of major regulatory and compliance frameworks such as PCI-DSS, NIST, GDPR, SOX, or HITRUST and their evolving application to AI data privacy
Ability to translate regulatory requirements into technical architecture standards and implementation guidance
Experience reviewing and approving security architecture for complex enterprise systems including Large Language Models and multi-agent workflows
Comfortable troubleshooting and advising on security or network issues in complex distributed environments including vector databases and inference endpoints
Ability to drive projects and architectural initiatives independently, meeting delivery timelines for AI security guardrail implementation with minimal supervision
Strong written and verbal communication skills, including the ability to influence technical and business stakeholders
Familiarity with ITIL concepts and their application to incident, problem, and change management
Relevant industry certifications such as CISSP, CISM, SABSA, CCSP, or equivalent specialized credentials in AI or machine learning security

Nice To Haves

Experience securing AI infrastructure through Infrastructure as Code
Background in software development with a focus on Python and machine learning libraries
Hands-on experience with enterprise security tooling, specifically applied to monitoring LLM inference and agentic activity
Experience designing or securing complex AI and ML systems including Retrieval Augmented Generation architectures and multi-agent autonomous systems
Experience implementing real-time security guardrails and automated policy enforcement within cloud platforms for AI model deployment
Contributed to enterprise security strategy, reference architectures, or security standards for the responsible and secure use of generative AI
Experience mentoring engineers or guiding security architecture reviews across multiple teams

Responsibilities

Define the vision, strategy, and provide technical leadership for defining the security strategy, architecture, and governance for Artificial Intelligence (AI) and Machine Learning (ML) across the global enterprise.
Serve as a high-level visionary, bridging the gap between business requirements and technical security execution.
Design resilient security architectures that protect WEX’s global assets and people, ensuring robust compliance, while enabling rapid innovation.
Serve as a subject matter expert (SME), bridging the gap between Data Science, Software Engineering, and Cyber Security to build a robust Secure AI ecosystem.
Ensure the secure function of software development, infrastructure deployment, and regulatory alignment.
Look beyond the immediate need to see the systemic challenge and design for the next five years.
Explain complex security trade-offs to non-technical stakeholders and influence senior leadership.
Collaborate and communicate effectively with team and stakeholders to drive projects from inception to completion.
Integrate protection layers into the AI lifecycle without hindering the speed of innovation.
Balance the need to move fast with the realities of working in a highly regulated organization.
Operate independently across global time zones, and complete tasks and deliverables with minimal oversight.
Work closely with Enterprise IT and Product teams on securing WEX's infrastructure and runtime environments.
Mentor and guide engineering teams through the secure implementation of generative AI and multi-agent systems.
Review and approve security architecture for complex enterprise systems including Large Language Models and multi-agent workflows.
Troubleshoot and advise on security or network issues in complex distributed environments including vector databases and inference endpoints.
Drive projects and architectural initiatives independently, meeting delivery timelines for AI security guardrail implementation with minimal supervision.
Implement AI security guardrails.