Sr. AI Scientist

WEX is an innovative payments and technology company leading the way in a rapidly changing environment. Our goal is to simplify the business of running a business for our customers and free them to spend more time, with less worry, on the things they love. We are on a journey to build a unified, world class user experience across our products and services and leverage customer driven innovation to power our growth and  strategic initiatives.

About the Role

Are you a motivated and skilled AI Scientist eager to make a real impact? Join our innovative team and contribute to cutting-edge AI/ML applications that are transforming industries such as fleet & EV, Health Benefits, and Corporate Payments. In this role, you will apply your AI expertise to develop solutions that address complex, real-world problems for both internal and external customers. If you are excited about the potential of AI and machine learning and want to be part of a mission-driven organization, we would love to hear from you.

How You’ll Make an Impact 

• Contribute to the development and implementation of AI/ML models and algorithms to drive innovation across various industries, including fleet & EV, Health Benefits, and Corporate Payments

• Collaborate with cross-functional teams to identify and prioritize impactful use cases for AI/ML applications

• Participate in rapid prototyping efforts, focusing on learning from experiments and iterating on solutions to identify the most effective approaches

• Demonstrate creative thinking to develop innovative AI/ML solutions

• Assist in embedding AI/ML models into web and mobile applications

• Contribute to the development of solutions leveraging large language models and other advanced AI techniques to tackle complex problems, such as natural language understanding, text generation, and knowledge representation

• Conduct data analysis and feature engineering to extract valuable insights and improve model performance

• Collaborate with our AI platform team to design, develop, and deploy scalable and robust AI/ML solutions to solve business problems and improve operational efficiency

• Monitor and optimize AI/ML models to ensure their accuracy, reliability, and performance in production environments

• Stay updated with the latest advancements in AI/ML technologies and apply them to drive innovation

• Actively participate in knowledge sharing and continuous learning within the team

Experience You'll Bring

• 7+ years of relevant work experience (e.g., as a AI Scientist), including experience applying advanced analytics to planning and infrastructure problems.

  • OR 6+ years of relevant work experience with a Master’s degree in STEM or a related field

  • OR 3+ years of relevant work experience with a PhD in a related field

• Advanced experience with statistical software (e.g., R, Python) and database languages (e.g., SQL)

• Experience aligning generative AI and advanced analytics with business objectives through iterative experimentation, rapid prototyping, and stakeholder engagement.

• Proven experience designing and deploying Agentic AI workflows, enabling autonomous, goal-driven decision-making processes in dynamic business environments.

• Comfortable integrating foundation models (e.g., GPT, Claude) with structured and unstructured data for real-time insights and task automation. 

• Hands-on expertise implementing RAG (Retrieval-Augmented Generation) pipelines that combine large language models with contextual enterprise knowledge bases for scalable, trustworthy AI solutions. 

• Advanced experience building, cleaning, and testing data quality for data sets preceding modeling 

• Strong problem-framing, problem-solving, project management skills, customer service, and communication skills

• Deep understanding of modeling and statistical approaches (e.g. logistic regression, linear regression, random forests, etc.)

• Experience with end-to-end feature development (owning feature definition, roadmap development, and experimentation)

• Experience distilling informal customer requirements into problem definitions, dealing with ambiguity, and competing objectives

What would make you stand out:

• Ho