Applications Development Senior Programmer Analyst

Citi • Tampa, FL

1d • $157,851 - $159,723 • Hybrid

About The Position

Citibank, N.A. seeks an Applications Development Senior Programmer Analyst for its Tampa, Florida location. This role involves developing and enhancing Artificial Intelligence (AI) models for transaction classification, and designing and implementing AI solutions using large language models (LLMs) and agent-based architecture to automate and enhance sanctions screening risk and compliance workflows within enterprise banking systems. The position requires designing models for categorizing transaction data, building deep learning LSTM-based models for alert disposition, and creating AI performance tracking frameworks. Responsibilities include developing automated frameworks to identify underperforming models, analyzing classification errors, applying statistical inference techniques to detect data anomalies, and designing and maintaining ETL pipelines for seamless processing of raw transaction data. The role also involves implementing data validation, using A/B testing for optimal data ingestion, collaborating to translate regulatory and operational requirements into production-ready technical solutions, and building and automating model training and evaluation pipelines. Additionally, the role requires designing automated reporting with interactive visualizations, researching cutting-edge AI techniques, building foundational frameworks with LangGraph for sophisticated AI reasoning and action systems, and collaborating with cross-functional teams using Agile methodologies. The position also entails developing orchestration frameworks that coordinate LLM services, business rules, and application programming interfaces, evaluating various algorithms (RF, Decision Trees, SVM, XGBoost, Naïve Bayes, and Neural Networks like LSTM, CNN), and optimizing system performance through testing, prompt design, workflow tuning, and quantitative analysis. The role includes involvement in deployment, release management, and production implementation of machine learning and data processing systems, as well as preparing technical documentation and validation materials to meet audit and regulatory expectations. A telecommuting/hybrid work schedule may be permitted.

Requirements

• Master’s degree or foreign equivalent in Computer Science, Data Science, Engineering (any), Statistics, Mathematics or related quantitative field and 3 years of experience as Sr Software Engineer (AI/ML Systems), Machine Learning Engineer, AI Engineer, Data Scientist, Data Engineer, Analytics Engineer or related position involving designing and implementing machine learning and artificial intelligence solutions, including natural language processing techniques and emerging large language models applications, to automate and enhance sanctions screening risk and compliance workflows for the banking industry.
• Alternatively, a Bachelor’s degree in the stated fields and 5 years of the specified progressive, post-baccalaureate experience.
• 3 years of experience must include: Machine Learning model development and lifecycle management; Deep Learning models, including sequence-based long short-term memory (LSTM) networks; MLOps automated model pipelines; Risk analytics; ETL pipeline development for AI; Statistical analysis and experimental design; AI model performance and root cause analysis; Large-scale data processing; Model validation and governance frameworks; Sanctions Screening domain; Deployment, release management, and production implementation of machine learning and data processing systems within enterprise environments; Python, SQL, Oracle, REST APIs, Linux/Unix, Git, LightSpeed, Autosys.

Responsibilities

• Develop and enhance Artificial Intelligence (AI) models for transaction classification.
• Design and implement AI solutions by leveraging large language models (LLMs) and agent-based architecture to automate and enhance sanctions screening risk and compliance workflows within enterprise banking systems.
• Design models for categorizing transaction data and building deep learning LSTM-based models for alert disposition.
• Design AI performance tracking frameworks.
• Develop AI model performance tracking and reporting frameworks.
• Create platforms to monitor evaluation metrics and conduct statistical analysis on predictions.
• Perform model optimization and root cause analysis.
• Develop automated frameworks to identify underperforming models, analyze classification errors, and apply statistical inference techniques to detect data anomalies.
• Design and maintain ETL pipelines for seamless processing of raw transaction data.
• Implement data validation, and use A/B testing for optimal data ingestion.
• Collaborate to translate regulatory and operational requirements into production-ready technical solutions.
• Build and automate model training and evaluation pipelines, including data preprocessing, augmentation and validation.
• Design automated reporting with interactive visualizations.
• Research cutting-edge AI techniques.
• Build foundational frameworks with LangGraph to enable sophisticated, multi-step AI reasoning and action systems.
• Collaborate with cross-functional teams.
• Apply Agile methodologies for integration and scalability of AI solutions.
• Develop orchestration frameworks that coordinate LLM services, business rules and application programming interfaces to enable multi-step reasoning, document analysis, and task execution across multiple platforms.
• Evaluate different algorithms including RF, Decision Trees, SVM, XGBoost, Naïve Bayes, and Neural Networks like LSTM, CNN.
• Evaluate and optimize system performance through controlled testing, prompt design, workflow tuning, and quantitative analysis to ensure reliable, accurate and consistent outcomes.
• Involved in deployment, release management, and production implementation of machine learning and data processing systems within enterprise environments.
• Prepare technical documentation and validation materials and follow internal governance and model risk management standards to meet audit and regulatory expectations.

Benefits

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior