AI Developer

Banesco USA

1d•Hybrid

About The Position

Banesco USA is seeking an AI Developer for our IT Department. Primary Job Duties AI & Data Science Development: Design and architect robust individual agents within Gemini Enterprise (Agent Space) to autonomously handle specific business tasks with high reliability. Orchestrate complex connected integrations using Gemini agents to fully replace and modernize entire legacy workflows, moving beyond simple task automation to full process reinvention. Design and deploy scalable AI solutions using Google Cloud Platform (GCP) technologies (e.g., Vertex AI, BigQuery ML, AutoML) to solve complex banking challenges. Develop advanced predictive models and forecasting tools to analyze historical data, identify trends, and provide actionable insights that increase data-driven decision-making across the organization. Workflow Optimization & Innovation: Apply creative problem-solving to design novel automation workflows that address non-standard, "leading-edge" business problems. Integrate Generative AI and Machine Learning models into enterprise applications and Business Intelligence systems to enhance user experience and operational efficiency. Collaborate with business units to identify, analyze, and document business processes suitable for intelligent automation. Develop and optimize complex SQL queries and data pipelines within GCP to support high-performance model training and automated inference. Support, Collaboration & Culture: Provide ongoing maintenance and support for deployed models and agents, utilizing MLOps best practices to monitor performance, accuracy, and data drift. Maintain constant communication within the automation team, actively cross-training and sharing knowledge of new AI developments and solutions. Support business drivers through the development of AI analysis tools. Champion the establishment of an enterprise data-driven culture by mentoring teams on the capabilities of AI and demonstrating the value of predictive analytics. Compliance & Risk Management: Ensure all developed AI solutions comply with the bank’s policies and procedures, including IT policy, Risk Management, and regulatory guidelines (e.g., BSA/AML). Implement appropriate security measures and data governance standards within GCP and Gemini environments to protect sensitive client data. Abide by the bank’s Enterprise Risk Management Policy (ERM), embedding risk identification and mitigation into daily modeling activities. Professional Development: Willingness to work occasionally outside of normal business hours as required to support critical deployments or incidents. Complete all assigned annual training programs to stay current with technology trends and banking regulations. Perform other functions and/or duties as assigned by the Automation Team Lead or VP, BI & Automation Manager.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Science, Mathematics, Statistics, or a related field, or equivalent practical experience.
Banking Experience: Minimum of three (3) years of experience in the banking or financial services industry is preferred, with specific exposure to core banking systems (e.g., Jack Henry & Associates) and compliance regulations.
Minimum of five (5) years of hands-on experience in software development and Data Science, with a specific focus on predictive modeling and forecasting.
Proven experience developing and deploying AI/ML solutions on Google Cloud Platform (GCP) (e.g., Vertex AI, Cloud Functions, BigQuery).
Gemini Enterprise: Demonstrated experience building Agent Space solutions, creating individual agents, and linking them to create complex, autonomous workflows.
Demonstrated experience in applying creative technical solutions to undefined or complex business problems.
Cloud & AI: Deep proficiency in Google GCP ecosystem (Vertex AI, TensorFlow, Gemini models) and Gemini Enterprise (Agent Space) architecture.
Programming: Advanced scripting skills in Python (Pandas, NumPy, Scikit-learn) and R.
Databases: Strong proficiency in SQL (client and server), BigQuery, and experience with Oracle or AS400.
Banking Systems: Familiarity with Jack Henry & Associates or similar core banking platforms is a plus.
General Software: Proficiency in Google Workspace Apps (Docs, Sheets, Slides, etc.) and Microsoft Office Suite (Word, Excel, PowerPoint).
Creative Problem-Solving: Ability to think outside the box to design innovative AI solutions for complex, non-linear business workflows25.
Data Science Acumen: Deep understanding of statistical analysis, regression modeling, and time-series forecasting.
Language: Bilingual proficiency in both English and Spanish (fluency in speaking, understanding, reading, and writing) is highly preferred, given the bank's international and domestic client base in South Florida.
Communication: Strong verbal and written communication skills with the ability to articulate technical concepts clearly to both technical and non-technical audiences across all levels of the organization.
Problem-Solving: Strong analytical and problem-solving skills to troubleshoot technical and non-technical issues, identify root causes, and propose effective solutions.
Attention to Detail: Meticulous attention to detail and accuracy in all aspects of work.
Organization & Time Management: Ability to multi-task effectively, strong organizational skills, and excellent time-management and prioritizing abilities to meet deadlines in a fast-paced environment.
Customer Service: Strong customer service orientation, ensuring satisfaction of both internal and external stakeholders.
Adaptability: Ability to work independently and under pressure, making sound decisions according to established guidelines and accomplishing tasks accurately and on time.
Documentation: Proven ability to create clear, concise, and professional technical documents and reports for various audiences, including management.

Nice To Haves

Banking Experience: Minimum of three (3) years of experience in the banking or financial services industry is preferred, with specific exposure to core banking systems (e.g., Jack Henry & Associates) and compliance regulations.
Language: Bilingual proficiency in both English and Spanish (fluency in speaking, understanding, reading, and writing) is highly preferred, given the bank's international and domestic client base in South Florida.

Responsibilities

Design and architect robust individual agents within Gemini Enterprise (Agent Space) to autonomously handle specific business tasks with high reliability.
Orchestrate complex connected integrations using Gemini agents to fully replace and modernize entire legacy workflows, moving beyond simple task automation to full process reinvention.
Design and deploy scalable AI solutions using Google Cloud Platform (GCP) technologies (e.g., Vertex AI, BigQuery ML, AutoML) to solve complex banking challenges.
Develop advanced predictive models and forecasting tools to analyze historical data, identify trends, and provide actionable insights that increase data-driven decision-making across the organization.
Apply creative problem-solving to design novel automation workflows that address non-standard, "leading-edge" business problems.
Integrate Generative AI and Machine Learning models into enterprise applications and Business Intelligence systems to enhance user experience and operational efficiency.
Collaborate with business units to identify, analyze, and document business processes suitable for intelligent automation.
Develop and optimize complex SQL queries and data pipelines within GCP to support high-performance model training and automated inference.
Provide ongoing maintenance and support for deployed models and agents, utilizing MLOps best practices to monitor performance, accuracy, and data drift.
Maintain constant communication within the automation team, actively cross-training and sharing knowledge of new AI developments and solutions.
Support business drivers through the development of AI analysis tools.
Champion the establishment of an enterprise data-driven culture by mentoring teams on the capabilities of AI and demonstrating the value of predictive analytics.
Ensure all developed AI solutions comply with the bank’s policies and procedures, including IT policy, Risk Management, and regulatory guidelines (e.g., BSA/AML).
Implement appropriate security measures and data governance standards within GCP and Gemini environments to protect sensitive client data.
Abide by the bank’s Enterprise Risk Management Policy (ERM), embedding risk identification and mitigation into daily modeling activities.
Willingness to work occasionally outside of normal business hours as required to support critical deployments or incidents.
Complete all assigned annual training programs to stay current with technology trends and banking regulations.
Perform other functions and/or duties as assigned by the Automation Team Lead or VP, BI & Automation Manager.