The Role
As an AI/ML Solutions Engineer, you'll design and implement AI/ML models and data pipelines, collaborate on innovation, and ensure compliance with regulations in banking.
Summary Generated by Built In
Job Summary & Responsibilities
Bachelor's Degree in a related field or equivalent experience required
SUMMARY: BankUnited is seeking an early‑career Junior AI/ML Solutions Engineer to help design, implement, and support end‑to‑end AI solutions that enhance our financial services, improve customer experiences, and optimize internal operations. In this role you'll contribute to data pipelines, ML workflows, and generative AI applications under the guidance of senior engineers. You will develop hands on skills across the AI solution lifecycle from data preparation and infrastructure design to model development and deployment within a regulated banking environment as well as leveraging Microsoft Copilot agents and Microsoft 365 AI capabilities to optimize internal operations and elevate user productivity.
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties and special projects may be assigned.
- Contributes features to generative AI applications for document analysis, conversational assistants, and predictive use cases; start with proofs of concept and iterate into production with senior support.
- Helps evaluate, fine tune, and integrate large language models (LLMs) into workflows; build prompt templates and lightweight evaluation harnesses
- Assists in developing and maintaining ML pipelines on AWS (e.g., SageMaker), focusing on reproducibility and automation
- Helps implement data pipelines/ETL to prepare datasets for training and inference using S3/Glue/Athena/Redshift.
- Supports and maintain existing AI/ML solutions, troubleshooting issues and implementing enhancements as needed
- Supports existing AI/ML solutions through maintenance, issue resolution, and documentation of system behavior and updates
- Supports model benchmarking and experiment tracking to assess performance, robustness, and bias; document limitations and known failure modes
- Partners with senior engineers and compliance with model risk management expectations and ongoing monitoring practices
- Participates in deployments with CI/CD and MLOps practices; assist with alerting, logging, and early risk detection dashboards
- Leverages Microsoft Copilot Studio and Microsoft 365 Copilot features to build lightweight automation, copilots, prompts, and AI-driven workflows.
- Assists in developing copilots/agents that integrate SharePoint, Teams, Outlook, and Microsoft Graph data sources.
- Collaborates with stakeholders to identify practical AI opportunities; help convert requirements into technical tasks and clear documentation
- Stays current with advancements in AI/ML.
- 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.
EDUCATION
Bachelor's Degree in a related field or equivalent experience required
EXPERIENCE
- Up to 1.5 years of experience through coursework or internships with ML or generative AI required
- Experience (academic or professional) implementing RAG or vector search; familiarity with AI orchestration/agent patterns preferred
- Experience with explainability and bias mitigation techniques preferred
- Experience integrating Microsoft Graph APIs or automation across Teams and SharePoint preferred
- Experience in a regulated industry (especially financial services) preferred
KNOWLEDGE, SKILLS AND ABILITIES
- Foundational Python skills and exposure to ML frameworks required.
- Familiarity with cloud ML platforms required.
- Basic understanding of Microsoft 365 ecosystem tools (SharePoint, Teams, Outlook) and Copilot capabilities required.
- Basic SQL and data modeling knowledge required.
- Understanding of NLP and LLM concepts required.
- Awareness of data security and privacy considerations required.
- Knowledge of model governance frameworks in financial services and quantitative approaches to risk thresholds preferred.
- Exposure to designing benchmarking or controlled testing environments for model comparisons preferred
- Understanding of vector databases and semantic search technologies preferred.
- Familiarity with cloud architecture principles that favor modular, interchangeable components preferred.
- Interest in prompt engineering and LLM fine tuning preferred.
ADDITIONAL INFORMATION
- Candidates residing in locations within BankUnited's footprint may be given preference.
Top Skills
Airflow
Athena
AWS
Aws S3
Aws Step Functions
Glue
Hugging Face
NoSQL
Python
PyTorch
Redshift
Sagemaker
SQL
TensorFlow
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
BankUnited, Inc., with total consolidated assets of $35.2 billion at March 31, 2021, is a bank holding company with one wholly owned subsidiary, BankUnited.
BankUnited, a national banking association headquartered in Miami Lakes, Florida, provides a full range of banking services to individual and corporate customers through banking centers in Florida and New York. The Bank also provides certain commercial lending and deposit products on a national platform.
Here at BankUnited, we endeavor to provide, through experienced lending and relationship banking teams, personalized customer service and offer a full range of traditional banking products and services to both commercial and retail customers.
.png)
