AI/ML Solutions Engineer

SUMMARY: We are seeking an Artificial Intelligence/Machine Leaning (AI/ML) Solutions Engineer specialized in both AI & ML technologies and data engineering to join our data analytics team at BankUnited. In this role, you will design, develop, and deploy end-to-end AI & ML solutions that enhance our financial services, improve customer experiences, and optimize internal operations. This position offers an exciting opportunity to leverage your expertise in AI technologies and data engineering to transform our banking operations. You will be responsible for building comprehensive solutions from data pipeline development to AI/ML model deployment, addressing complex financial services challenges while working in a collaborative environment with cross-functional teams. As an ideal candidate, you will combine technical expertise in AI/ML with strong data engineering skills on AWS to build resilient, adaptable systems that can evolve with rapidly changing technologies. Success in this role requires practical implementation experience across the entire AI solution lifecycle - from data preparation and infrastructure design to model development and deployment - all within a regulated banking environment.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties and special projects may be assigned.

• Designs and implements generative AI applications for financial use cases, including document analysis, conversational interfaces, and predictive models
• Develops and maintains machine learning pipelines using AWS SageMaker or similar cloud platforms
• Designs and implements data pipelines to support AI/ML workflows on AWS
• Develops ETL processes to prepare data for machine learning models
• Collaborates with stakeholders to identify opportunities for AI implementation and innovation
• Evaluates, fine-tune, and deploys large language models for financial services applications
• Performs comprehensive model risk assessments and develop mitigation strategies
• Designs and implements model benchmarking frameworks to evaluate performance, bias, and robustness
• Documents model limitations and establish monitoring systems for early risk detection
• Works with compliance teams to ensure AI systems meet regulatory requirements for model risk management
• Ensures AI systems comply with banking regulations and ethical standards
• Stays current with rapid advancements in AI technologies and methodologies.
• Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e.