UMB's Artificial Intelligence (AI) team is responsible for driving automation, data-driven decision making and software modernization using AI centric tools. Currently, we leverage machine learning, natural language processing, predictive analytics, and generative AI to enhance customer experience, and improve operational efficiency. This includes utilizing fraud protection software to ensure regulatory and system availability.
Requirements
- strong programming skills in Python and at least one additional language (Java, .NET, or Node.js, etc.).
- familiarity with cloud-native development and deployment (AWS, Azure, GCP).
- experience working with APIs, microservices, and containerization.
- proficiency in AI/ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn).
- knowledge of RESTful API design, event-driven architectures, and integration patterns.
- familiarity with MLOps practices and tools (MLflow, Kubeflow, SageMaker Pipelines).
- understand software testing, version control (Git), and CI/CD pipelines.
Responsibilities
- Develop, test, and deploy AI/ML-powered applications and services for banking, payments, risk, and compliance functions.
- Build APIs, microservices, and integration layers to embed AI models into enterprise applications and digital platforms.
- Collaborate with data scientists to productionize AI models, ensuring scalability, monitoring, and performance optimization.
- Implement CI/CD pipelines and MLOps best practices for model deployment and lifecycle management.
- Develop intelligent user-facing solutions such as chatbots, personalization engines, and fraud detection systems.
- Ensure applications adhere to regulatory, security, and governance requirements in financial services.
- Maintain documentation, version control, and code quality standards for AI applications.
Other
- This role is hybrid (Mon through Thu on-site / Fri remote) at the UMB Tech Center located in downtown Kansas City, MO.
- Applicants must have legal authority to work in the United States. Work Visa sponsorship is not available for this position.
- You have a Bachelor’s degree in Computer Science, Software Engineering, or related field and at least 3 years of experience in software development with exposure to AI/ML applications, OR equivalent combination of education and work experience.
- You have a Master’s degree in Artificial Intelligence, Software Engineering, or related discipline and at least 5 years of experience in developing AI-powered or data-driven applications in financial services industry.
- You have any of the following certifications AWS Certified Machine Learning – Specialty, TensorFlow Developer, or Microsoft AI Engineer.