WEX Inc. Logo

WEX Inc.

Solution Architect (AI Focus) - Enterprise Applications

Reposted 22 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in CA, USA
166K-204K Annually
Senior level
In-Office or Remote
Hiring Remotely in CA, USA
166K-204K Annually
Senior level
The Solution Architect focuses on integrating and enhancing AI features within enterprise applications, driving operational excellence and hyperautomation across the organization.
The summary above was generated by AI

About the Team & Role

We are seeking a high-impact Solution Engineer to join the Enterprise Applications Architecture team. This role is dedicated to accelerating our business by weaving AI and hyperautomation directly into our core enterprise platform ecosystem. Rather than building from scratch, you will focus on unlocking native AI features within our existing vendors, augmenting gaps through targeted engineering, and integrating with our centralized AI Platform to drive operational excellence.
 

How you'll make an impact

  • 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."
     

Experience you'll bring 

  • 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.
     

Preferred Qualifications

  • 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

Similar Jobs

8 Hours Ago
Easy Apply
In-Office or Remote
United States
Easy Apply
180K-200K Annually
Senior level
180K-200K Annually
Senior level
Artificial Intelligence • Hardware • Healthtech • Software
The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.
Top Skills: AWSDatabricksKafkaKinesis
8 Hours Ago
Remote
204K-276K Annually
Expert/Leader
204K-276K Annually
Expert/Leader
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Lead design and implementation of shared, reusable data models and a certified metrics layer. Standardize pipeline patterns, CI/CD, and governance; modernize orchestration and observability; partner with Data Science, Infrastructure, and Product to deliver reliable analytics pipelines and enable AI-native data development.
Top Skills: AirflowAtlanDatabricksDatabricks Metric ViewsDbtDbt MetricflowDelta LakeGreat ExpectationsMonte CarloPythonSpark SqlSQLUnity Catalog
8 Hours Ago
Remote or Hybrid
3 Locations
Expert/Leader
Expert/Leader
Cloud • Fintech • Information Technology • Machine Learning • Software
Drive sales operations for US and Canada markets, aligning strategy with execution while enhancing seller performance through data-driven insights and operational excellence.
Top Skills: DbtSalesforceSnowflakeTableau

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account