AI​/ML Solutions Engineer

Summary

We are seeking an Artificial Intelligence/Machine Learning (AI/ML) Solutions Engineer specialized in both AI & ML technologies and data engineering to join our data analytics team  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.

• 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 Sage Maker 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-tunes, and deploys large language models for financial services applications
• Performs comprehensive model risk assessments and develops mitigation strategies
• Designs and implements model benchmarking frameworks to evaluate performance, bias, and robustness
• Documents model limitations and establishes 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

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

• 5+ years of experience required
• Proven track record of deploying generative AI solutions in production environments (e.g., 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
• Experience with AWS data services (S3, Glue, Redshift, Athena) required
• Experience with SQL and No
  
  SQL databases required
• Experience working with data scientists, product managers, and business units preferred
• Experience developing model governance frameworks compatible with financial service regulations preferred
• Experience with quantitative model risk assessment and establishment of risk thresholds preferred
• Proven track record working with various Machine Learning Models, implementing them for various business use cases preferred
• Expertise in designing controlled testing environments to benchmark model performance against established standards preferred
• Experience implementing RAG (Retrieval-Augmented Generation) systems and other LLM-enhancement architectures preferred
• Experience in a regulated industry, particularly financial services preferred
• Experience with vector databases and semantic search technologies preferred
• Experience developing scalable and maintainable AI infrastructures that accommodate rapid technological advancements