Solution Architect (AI Focus) - Enterprise Applications

• Strategic Governance & Standardization: Collaborate with cross-functional steering committees to establish enterprise-wide AI standards, reference architectures, and ethical guardrails, ensuring a unified and scalable approach to autonomous agent deployment.
• Strategic Integration: Influence the roadmap of our Enterprise Application portfolio (CRM, ERP, HCM, etc.) to ensure we are maximizing out-of-the-box AI capabilities.
• Architecture & Augmentation: Design and implement "bridging" solutions where native platform features fall short, leveraging our internal AI Platform to ensure a unified intelligence layer.
• Hyperautomation Leadership: Lead the design and deployment of digital employees and AI agents, integrating them with RPA and machine learning to create a seamless, hybrid workforce that automates complex, end-to-end business functions.
• Hands-on Execution: Lead AI initiatives from rapid Proof of Concept (POC) to production-ready systems, ensuring solutions are scalable, secure, and maintainable.
• Efficiency First: Uphold the "don't reinvent the wheel" philosophy by prioritizing the reuse of existing frameworks and centralized AI infrastructure.
• Cross-Functional Liaison: Serve as the technical authority between the AI Platform team and the business-facing application teams to ensure technical alignment and data integrity.
• Technical Leadership: Mentor engineering staff on AI best practices, contribute to resource planning, and act as a senior escalation point for complex integration challenges.
• Market Intelligence: Maintain a pulse on the "Big Tech" enterprise AI landscape to advise leadership on when to "buy vs. configure vs. build."

• Education: BS/BA degree in Computer Science, Information Systems, or a related technical field.
• Experience: 8+ years in Software/Systems Engineering with a heavy focus on Enterprise Applications.
• AI/ML Expertise: 4+ years of hands-on experience implementing AI/ML solutions, specifically involving Large Language Models (LLMs), NLP, or Predictive Analytics within a corporate environment.
• Integration Mastery: Proven ability to design complex system integrations using APIs, middleware, and event-driven architectures (e.g., Kafka).
• Stakeholder Management: Demonstrated experience navigating high-level business requirements and translating them into technical specifications for diverse IT and business audiences., * Platform Specifics: Deep experience with major enterprise ecosystems (e.g., Salesforce, Workday).
• AI Governance: Familiarity with AI ethics, data privacy (GDPR/CCPA), and the "Human-in-the-loop" design patterns.
• Hyperautomation Proficiency: Experience with hyperautomation tools and frameworks (e.g., UiPath) to drive business efficiency.
• Agile/DevOps: Experience leading development pods using Agile methodologies and implementing MLOps/DevOps pipelines for continuous delivery.
• Product Mindset: Ability to leverage User Experience (UX) principles to ensure AI features actually improve productivity rather than adding friction.

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: $165,800.00 - $204,400.00