AI/ML Solutions Engineer

Job DescriptionJOB 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: Designs and implements generative AI applications for financial use cases, including document analysis, conversational interfaces, and predictive modelsDevelops and maintains machine learning pipelines using AWS SageMaker or similar cloud platformsDesigns and implements data pipelines to support AI/ML workflows on AWSDevelops ETL processes to prepare data for machine learning modelsCollaborates with stakeholders to identify opportunities for AI implementation and innovationEvaluates, fine-tune, and deploys large language models for financial services applicationsPerforms comprehensive model risk assessments and develop mitigation strategiesDesigns and implements model benchmarking frameworks to evaluate performance, bias, and robustnessDocuments model limitations and establish monitoring systems for early risk detectionWorks with compliance teams to ensure AI systems meet regulatory requirements for model risk managementEnsures AI systems comply with banking regulations and ethical standardsStays 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. Bank Secrecy Act, US PATRIOT Act, etc.).Adheres to Bank policies and procedures and completes required training.Identifies and reports suspicious activity.QUALIFICATIONSEducationBachelor's Degree in Computer Science, Data Science, Mathematics, or related field or experience required OrExperience5+ years of experience requiredProven track record of deploying generative AI solutions in production environments (eg, chatbots, content generation systems, or AI assistants) requiredExperience building and deploying machine learning models in production environments requiredExperience implementing model validation techniques and performance benchmarking requiredExperience with AWS data services (S3, Glue, Redshift, Athena) requiredExperience with SQL and NoSQL databases requiredExperience working with data scientists, product managers, and business units preferredExperience developing model governance frameworks compatible with financial service regulations preferredExperience with quantitative model risk assessment and establishment of risk thresholds preferredProven track record working with various Machine Learning Models, implementing them for various business use cases preferredExpertise in designing controlled testing environments to benchmark model performance against established standards preferredExperience implementing RAG (Retrieval-Augmented Generation) systems and other LLM-enhancement architectures preferredExperience in a regulated industry, particularly financial services preferredExperience with vector databases and semantic search technologies preferredExperience developing scalable and maintainable AI infrastructures that accommodate rapid technological advancementsLicenses and CertificationsKnowledge, Skills, and AbilitiesStrong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, Hugging Face) requiredStrong understanding of model risk management frameworks and methodologies requiredKnowledge of best practices for mitigating AI-specific risks, including bias, drift, and adversarial vulnerabilities requiredFamiliarity with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) requiredFamiliarity with data pipeline orchestration tools (e.g., AWS Step Functions, Airflow) requiredUnderstanding of data modeling and database design principles requiredUnderstanding of NLP concepts and experience working with language models requiredKnowledge of data security and privacy considerations, especially in financial contexts requiredStrong collaborative skills and experience working in cross-functional teams requiredAbility to communicate complex technical concepts to non-technical stakeholders requiredProficiency in using Amazon Q Business for enterprise operations and solutions requiredDemonstrated passion for AI advancement, with a track record of self-directed learning, experimentation with emerging technologies, and willingness to pioneer innovative approaches preferredFamiliarity with AI orchestration and agent technologies preferredKnowledge of prompt engineering and model fine-tuning techniques preferredUnderstanding of AI explainability and bias mitigation approaches preferredForward-thinking approach to AI system design, with focus on adaptability and resilience preferredDeep understanding of cloud architecture principles to design modular, interchangeable systems preferredDemonstrated ability to anticipate technological changes and build solutions that can evolve preferredAdditional InformationCandidates residing in locations within BankUnited's footprint may be given preference.Job DetailsJob Type: Full Time - PermanentCategory: Information Technology