AI​/ML Solutions Engineer

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  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 Sage Maker or similar cloud platforms

Designs and implements data pipelines to support AI/ML workflows on AWSDevelops 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 OrExperience5+ 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

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…