Sr Enterprise AI Security Architect

Posted An Hour Ago
Be an Early Applicant
Hiring Remotely in US
Remote
143K-189K Annually
Senior level
Fintech • Payments
The Role
Lead enterprise AI security architecture, strategy, governance, and secure-by-design implementation across cloud, hybrid infrastructure, software, and AI/ML environments. Design security patterns for LLM hosting, agentic systems, vector databases, and inference endpoints; translate regulatory requirements into technical standards; review complex architectures; implement AI security guardrails and policy enforcement; advise engineering and product teams; and mentor teams while influencing senior stakeholders.
Summary Generated by Built In

About the Team & Role
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. 

How you’ll make an impact

  • A Strategic Thinker: You look beyond the immediate need to see the systemic challenge. You design for the next five years, not just the next five months.

  • A Consultative Partner: You can explain complex security trade-offs to non-technical stakeholders and influence senior leadership. A collaborative, solid communicator who works well with your team and stakeholders to drive projects from inception to completion

  • A Secure By Design Mindset: You value a "Secure by Design" philosophy and strive to integrate protection layers into the AI lifecycle without hindering the speed of innovation

  • Someone who cares deeply for team results but is able to work independently to deliver high quality solutions for projects and operational tasks

  • Comfortable balancing the need to move fast with the realities of working in a highly regulated organization

  • Someone who thrives in situations where details and accuracy are vital

  • A skilled worker that has the motivation, expertise, and work ethic to operate independently across global time zones, and who is able to complete tasks and deliverables with minimal oversight

  • Work closely with Enterprise IT and Product teams on securing WEX's infrastructure and runtime environments

  • A mentor who enjoys sharing knowledge and can guide engineering teams through the secure implementation of generative AI and multi-agent systems

Experience you’ll bring

  • Have 10+ years of experience in information security, including 3+ years in an enterprise security architecture role with a focus on emerging technologies

  • Have 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

  • Possess a strong practical understanding of modern cloud and hybrid infrastructure (AWS, Azure), networking, and security engineering principles

  • Have extensive experience designing solutions that meet security, compliance, and business requirements for generative AI and autonomous systems

  • Have 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

  • Are able to translate regulatory requirements into technical architecture standards and implementation guidance

  • Have experience reviewing and approving security architecture for complex enterprise systems including Large Language Models and multi-agent workflows

  • Are comfortable troubleshooting and advising on security or network issues in complex distributed environments including vector databases and inference endpoints

  • Can drive projects and architectural initiatives independently, meeting delivery timelines for AI security guardrail implementation with minimal supervision

  • Demonstrate strong written and verbal communication skills, including the ability to influence technical and business stakeholders

  • Are familiar with ITIL concepts and their application to incident, problem, and change management

  • Hold relevant industry certifications such as CISSP, CISM, SABSA, CCSP, or equivalent specialized credentials in AI or machine learning security

It would be nice if you:

  • Have experience securing AI infrastructure through Infrastructure as Code or have a background in software development with a focus on Python and machine learning libraries

  • Have hands-on experience with enterprise security tooling, specifically applied to monitoring LLM inference and agentic activity

  • Have experience designing or securing complex AI and ML systems including Retrieval Augmented Generation architectures and multi-agent autonomous systems

  • Have experience implementing real-time security guardrails and automated policy enforcement within cloud platforms for AI model deployment

  • Have contributed to enterprise security strategy, reference architectures, or security standards for the responsible and secure use of generative AI

  • Have experience mentoring engineers or guiding security architecture reviews across multiple teams


The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $143,400.00 - $189,100.00

Skills Required

  • 10+ years of experience in information security
  • 3+ years in an enterprise security architecture role focused on emerging technologies
  • Deep expertise in enterprise security architecture for infrastructure, cloud, network, identity, AI model hosting, and agentic execution environments
  • Practical understanding of AWS, Azure, modern cloud and hybrid infrastructure, networking, and security engineering principles
  • Experience designing solutions for security, compliance, and business requirements involving generative AI and autonomous systems
  • Working knowledge of PCI-DSS, NIST, GDPR, SOX, or HITRUST and their 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
  • Experience troubleshooting and advising on security or network issues in distributed environments, including vector databases and inference endpoints
  • Ability to independently drive projects and architectural initiatives for AI security guardrail implementation
  • Strong written and verbal communication skills with the ability to influence technical and business stakeholders
  • Familiarity with ITIL concepts and incident, problem, and change management
  • Relevant certification such as CISSP, CISM, SABSA, CCSP, or equivalent specialized AI or machine learning security credential
  • Experience securing AI infrastructure through Infrastructure as Code or software development using Python and machine learning libraries
  • Hands-on experience with enterprise security tooling for monitoring LLM inference and agentic activity
  • Experience designing or securing Retrieval Augmented Generation architectures and multi-agent autonomous systems
  • Experience implementing real-time security guardrails and automated policy enforcement in cloud AI deployments
  • Experience contributing to enterprise security strategy, reference architectures, or responsible generative AI security standards
  • Experience mentoring engineers or guiding security architecture reviews across multiple teams

WEX Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about WEX Inc. and has not been reviewed or approved by WEX Inc..

  • Leave & Time Off Breadth Leave offerings are portrayed as a standout, with generous PTO and additional paid time for volunteering. Time-off flexibility is also positioned as a meaningful part of the overall rewards experience.
  • Retirement Support Retirement benefits are presented as strong, including a 401(k) match that is described as competitive. This element appears to materially strengthen the total rewards package even when cash compensation feels less compelling.
  • Strong & Reliable Incentives Variable compensation is sometimes framed positively through bonuses and uncapped earning potential in sales-oriented roles. Stock options are also cited as an additional reward component that can improve perceived total compensation.

WEX Inc. Insights

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The Company
HQ: Portland, ME
4,900 Employees
Year Founded: 1983

What We Do

We simplify complex payment systems for fleets, corporate payments, and healthcare—unlocking insights, opportunities, and efficiencies to give you greater control of your business. Powered by the belief that complex payment systems can be made simple, WEX (NYSE: WEX) is a leading financial technology service provider across a wide spectrum of sectors, including fleet, travel and healthcare. WEX operates in more than 10 countries and in more than 20 currencies through approximately 4,900 associates around the world. WEX fleet cards offer approximately 14 million vehicles exceptional payment security and control; our travel and corporate solutions business processes over $35 billion of purchase volume annually; and the WEX Health financial technology platform helps 343,000 employers and more than 28 million consumers better manage healthcare expenses.

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