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