Solution Architect – AI Focus, Enterprise Applications

WEX

. Collaborate with cross-functional steering committees to establish enterprise-wide AI standards, reference architectures, and ethical guardrails .

Posted 4/29/2026full-timePortland • California, Maine, Massachusetts, Washington • 🇺🇸 United StatesSeniorLead💰 $165,800 - $204,400 per yearWebsite

Tech Stack

Tools & technologies

ERPKafkaRPA

About the role

Key responsibilities & impact

Collaborate with cross-functional steering committees to establish enterprise-wide AI standards, reference architectures, and ethical guardrails
Influence the roadmap of our Enterprise Application portfolio (CRM, ERP, HCM, etc.) to ensure we are maximizing out-of-the-box AI capabilities
Design and implement "bridging" solutions where native platform features fall short, leveraging our internal AI Platform to ensure a unified intelligence layer
Lead the design and deployment of digital employees and AI agents, integrating them with RPA and machine learning to create a seamless, hybrid workforce
Lead AI initiatives from rapid Proof of Concept (POC) to production-ready systems, ensuring solutions are scalable, secure, and maintainable
Uphold the "don't reinvent the wheel" philosophy by prioritizing the reuse of existing frameworks and centralized AI infrastructure
Serve as the technical authority between the AI Platform team and the business-facing application teams to ensure technical alignment and data integrity
Mentor engineering staff on AI best practices and contribute to resource planning
Maintain a pulse on the "Big Tech" enterprise AI landscape to advise leadership on when to "buy vs. configure vs. build"

Requirements

What you’ll need

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

Benefits

Comp & perks

health, dental and vision insurances
retirement savings plan
paid time off
health savings account
flexible spending accounts
life insurance
disability insurance
tuition reimbursement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI solutionsmachine learningLarge Language ModelsNatural Language ProcessingPredictive Analyticssystem integrationsAPIsevent-driven architectureshyperautomationMLOps

Soft Skills

collaborationinfluencementorshiptechnical alignmentresource planningbusiness requirements translationcommunicationleadershipproblem-solvingadaptability