AI Engineer, Senior

We are a hybrid, remote-office company dedicated to growing our talent anywhere! We have onsite locations in: Sioux Falls, SD, Phoenix, AZ, Louisville, KY, Troy, MI, Franklin, TN, Easton, PA. At Pathward, we take tremendous pride in our purpose to create financial inclusion for all™. We are a financial empowerment company that works with innovators to increase financial availability, choice, and opportunity for all. We strive to remove barriers that traditional institutions put in the way of financial access, and promote economic mobility by providing responsible, secure, high quality financial products. We are a team of problem solvers and innovators who celebrate our differences and know that our unique perspectives make us stronger and well-positioned for success. We celebrate, and embrace, our team members through our *HUMBLE*HUNGRY*SMART approach, and we believe that we are strongest when we embrace the voices of our employees, customers, partners, and the communities we serve. About the Role: Responsible for researching, developing, and implementing Artificial Intelligence (AI) solutions to enable machines to simulate human intelligence by perceiving, reasoning, learning, and making decisions. Identifies opportunities for leveraging AI technology and optimizes existing AI models or develops custom solutions for specific applications. Prepares data for AI model training and trains, validates, and optimizes models. Integrates AI technologies into existing workflows. What You Will Do: Research, design, and develop artificial intelligence and machine learning models to solve business challenges and enable machines to simulate human intelligence through perception, reasoning, learning, and decision-making capabilities. Identify and evaluate opportunities for leveraging AI technologies across the organization, assess existing workflows, and recommend AI-driven solutions that improve efficiency, accuracy, and business outcomes. Collect, prepare, and preprocess data from various sources for model training, including data cleaning, feature engineering, exploratory analysis, and establishing data pipelines to support continuous improvement. Train, validate, and optimize AI models using appropriate algorithms, frameworks, and evaluation metrics to ensure robustness, performance, and accuracy while mitigating biases and ensuring ethical AI practices. Integrate AI solutions into existing systems, applications, and workflows by developing APIs, microservices, or interfaces that enable seamless deployment and scalability in production environments. Monitor and maintain deployed AI models through performance tracking, troubleshooting, and iterative improvements to ensure continued effectiveness and alignment with business objectives.