AI Security Architect – Agentic & AI Platforms

Reposted Yesterday
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 Role

WEX is seeking an AI Security Architect to help secure the next generation of AI and agentic systems across our enterprise. This is a deeply technical role for a security professional who understands how modern AI systems work—from model inference and agentic workflows to vector databases, identity, and trust boundaries—and can translate that knowledge into practical security architecture and controls.

You will partner directly with engineering and AI teams building these systems, helping them move quickly while ensuring security is designed into the technology from the start. This is not a traditional “checklist and diagram” architecture role; you will be expected to engage deeply with technical designs, challenge assumptions, and independently define security patterns for emerging AI platforms.

What You'll Do

  • Partner with AI, engineering, and platform teams to review and secure the architecture of AI applications and platforms.

  • Define security patterns, reference architectures, and guardrails for LLMs, AI agents, RAG architectures, vector databases, and inference environments.

  • Identify and address security risks across AI data flows, model and inference access, identity boundaries, third-party integrations, and agentic workflows.

  • Design practical approaches for identity, authentication, authorization, and trust boundaries in AI and multi-agent systems.

  • Evaluate emerging AI-specific threats and define appropriate security controls and mitigations.

  • Help establish monitoring, security guardrails, policy enforcement, and detection capabilities for LLM inference and agentic activity.

  • Translate emerging AI security and regulatory requirements into practical engineering standards and guidance.

  • Enable secure innovation by helping teams make informed, risk-based security decisions rather than acting as a gatekeeper.

  • Provide technical leadership and guidance as WEX continues to build and adopt emerging AI technologies and platforms.

What You'll Bring

  • Deep technical expertise in application, cloud, or platform security with demonstrated experience securing modern AI architectures.

  • Strong understanding of model inference, AI model lifecycle concepts, and the security considerations associated with LLM-based systems.

  • Experience evaluating or securing architectures involving LLMs, RAG, vector databases, AI agents, and agentic or multi-agent workflows.

  • Strong understanding of identity, authentication, authorization, and trust boundaries, particularly as they apply to AI systems and autonomous agents.

  • Ability to identify AI-specific security threats and translate them into practical, scalable security controls.

  • Experience working directly with engineering teams and engaging deeply in technical architecture and design discussions.

  • Strong ability to navigate ambiguity, independently evaluate emerging technologies, and develop practical security patterns where established standards may still be evolving.

Preferred Qualifications

  • Experience implementing security guardrails, policy enforcement, or monitoring for AI and LLM-based applications.

  • Familiarity with AI security frameworks, emerging industry standards, and the evolving regulatory landscape.

  • Experience with cloud-native architectures and modern application development environments.

  • Relevant security certifications are valued but are not a substitute for demonstrated technical depth in securing modern AI systems.

How You'll Make an Impact

You will help shape how WEX securely adopts and builds AI technologies at a time when the underlying technology and threat landscape are evolving rapidly. Your ability to combine deep technical expertise with pragmatic, risk-based decision-making will help engineering teams innovate with confidence while building security into AI systems from the start.

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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