AI/ML Solutions Engineer

BankUnited; Miami, Northern (FL, KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

BankUnited is seeking an Artificial Intelligence/Machine Leaning (AI/ML) Solutions Engineer to design, develop, and deploy end-to-end AI/ML solutions within our data analytics team. The role emphasizes building data pipelines, deploying models, and ensuring regulatory compliance in a banking environment.

You will collaborate with cross-functional teams, leverage AWS SageMaker and other cloud platforms, and stay ahead of AI developments to deliver secure, scalable financial applications.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Mathematics, or related field or experience required.
• 5+ years of experience required.
• Proven track record deploying generative AI solutions in production environments.

Responsibilities

• Designs and implements generative AI applications for financial use cases.
• Develops ML pipelines using AWS SageMaker or similar platforms.
• Builds data pipelines to support AI/ML workflows on AWS.
• Develops ETL processes to prepare data for models.
• Evaluates and deploys large language models for financial services.

Skills

Python

ML frameworks

Model risk management

Data pipelines

AWS cloud

NLP

Airflow

SQL/DB design

AI explainability

Communication

Q/Enterprise tools

Education

Bachelor's in CS/Math/Data Science

Tools

AWS SageMaker

Azure ML

GCP Vertex AI

Airflow

Amazon Q Business

Job description

JOB 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 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. Bank Secrecy Act, US PATRIOT Act, etc.).
• Adheres to Bank policies and procedures and completes required training.
• Identifies and reports suspicious activity.

QUALIFICATIONS

Education

• Bachelor's Degree in Computer Science, Data Science, Mathematics, or related field or experience required Or

Experience

• 5+ years of experience required
• Proven track record of deploying generative AI solutions in production environments (eg, chatbots, content generation systems, or AI assistants) required
• Experience building and deploying machine learning models in production environments required
• Experience implementing model validation techniques and performance benchmarking required

  Knowledge, Skills, and Abilities

  • Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, Hugging Face) required
  • Strong understanding of model risk management frameworks and methodologies required
  • Knowledge of best practices for mitigating AI-specific risks, including bias, drift, and adversarial vulnerabilities required
  • Familiarity with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) required
  • Familiarity with data pipeline orchestration tools (e.g., AWS Step Functions, Airflow) required
  • Understanding of data modeling and database design principles required
  • Understanding of NLP concepts and experience working with language models required
  • Knowledge of data security and privacy considerations, especially in financial contexts required
  • Strong collaborative skills and experience working in cross-functional teams required
  • Ability to communicate complex technical concepts to non-technical stakeholders required
  • Proficiency in using Amazon Q Business for enterprise operations and solutions required
  • Demonstrated passion for AI advancement, with a track record of self-directed learning, experimentation with emerging technologies, and willingness to pioneer innovative approaches preferred
  • Familiarity with AI orchestration and agent technologies preferred
  • Knowledge of prompt engineering and model fine-tuning techniques preferred
  • Understanding of AI explainability and bias mitigation approaches preferred
  • Forward-thinking approach to AI system design, with focus on adaptability and resilience preferred
  • Deep understanding of cloud architecture principles to design modular, interchangeable systems preferred
  • Demonstrated ability to anticipate technological changes and build solutions that can evolve preferred

  Additional Information

  Candidates residing in locations within BankUnited's footprint may be given preference.

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  BankUnited is an Equal Opportunity Employer. BankUnited does not discriminate against individuals on the basis of race, creed, color, gender, religion, national origin, age, disability, veteran status, pregnancy, marital status, citizenship status, sexual orientation, gender identity, genetic information, or any other classification protected by applicable laws.

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