The Bank Products and Services group is looking to solve the business and technical problem of developing, deploying, and optimizing AI/ML models on cloud-native platforms to support the financial organization’s digital and analytical transformation, ensuring scalable, secure, and compliant AI solutions for fraud detection, risk management, payments modernization, and personalized banking services.
Requirements
- You have hands-on experience with at least one major cloud platform (AWS, Azure, or GCP).
- You have in-depth programming skills in Python or R, with knowledge of AI/ML frameworks (Scikit-learn, TensorFlow, PyTorch).
- You have strong understanding of statistics, probability, and applied mathematics.
- You have proficiency in cloud-native AI/ML platforms and services (e.g., SageMaker, Bedrock, Vertex AI, Azure AI).
- You have knowledge of data preparation, feature engineering, and model lifecycle management.
- You have familiarity with SQL, data wrangling, and cloud-based data warehouses (Snowflake, Redshift, BigQuery, Synapse).
- You have experience building cloud-native AI solutions for fraud detection, credit risk scoring, and compliance monitoring.
Responsibilities
- Design, build, and validate AI/ML models on cloud-native platforms (AWS SageMaker/Bedrock, Azure AI, GCP Vertex AI).
- Collaborate with AI Cloud Data Engineers to build scalable data pipelines for model training, validation, and inference.
- Develop and maintain cloud-based MLOps pipelines for continuous integration, deployment, and monitoring of AI models.
- Ensure AI/ML solutions meet regulatory requirements for fairness, explainability, and security in financial services.
- Partner with data architects and governance teams to align models with enterprise data frameworks and compliance standards.
- Conduct experiments with advanced techniques such as NLP, generative AI, and deep learning for financial applications.
- Monitor and retrain cloud-deployed models to address data drift, performance degradation, or compliance changes.
Other
- This role is hybrid (Mon through Thu on-site / Fri remote) and located in downtown Kansas City, MO.
- Work closely with the Emerging Technology Product Manager to identify and build solutions.
- Translate business requirements into scalable AI model solutions deployed in the cloud.
- Stay current on advancements in AI/ML, cloud computing, and regulatory AI frameworks.
- Applicants must have legal authority to work in the United States. Work Visa sponsorship is not available for this position.
