AI​/Full Stack Java Tech Lead – Vice President

Key Responsibilities

• The role is responsible for the hands‑on development and coding of SBL solutions that transform the SBL lifecycle. This may include but not limited to writing production‑quality code for component‑level development of Agentic AI systems, interaction with internal SBL APIs for loan origination, collateral management, and risk assessment.
• The engineer may leverage the Long Context Advantage to automate and augment the analysis of complex client portfolios and credit agreements for SBL underwriting. This includes implementing the data pipelines for these models.
• Design and build solutions to automate the analysis, extraction, and verification of information from complex legal documents (e.g., credit agreements, term sheets, collateral pledges, etc.) and integrate with Docu Sign to significantly reduce the documentation lifecycle.
• The engineer will implement and maintain the data infrastructure required for SBL solutions, demonstrating proficiency with both relational and No
  
  SQL databases.
• Design and implement robust APIs and data feeds for integrating the SBL platform with critical internal and external systems. This includes market data providers, risk engines, credit adjudication platforms, and downstream loan product processors.
• Work closely with Credit Risk, Legal, and Compliance partners to ensure the SBL platform accurately implements lending policies and adheres to regulatory requirements (e.g., Regulation U). Collaborate with Technology and Business Information Security offices to embed security best practices into the system architecture.
• Investigate and resolve complex technical issues related to the SBL platform, from data discrepancies in collateral valuation to performance bottlenecks in loan processing.
• The position involves the practical application of the modern Generative AI stack to build and test predictive models that identify SBL client opportunities and potential risks. This requires strong data engineering skills and data cleansing of SBL‑specific datasets.
• Responsibilities include deploying AI models and applications into production on Open Shift using Docker and Kubernetes. This role will contribute to the team’s ML/Dev Ops practices by implementing robust monitoring, logging, and troubleshooting solutions for all SBL AI systems.

• 6–10 years of relevant experience in Application Development.
• Deep, demonstrable knowledge of the Securities Based Lending (SBL) lifecycle, including loan origination, underwriting, real‑time collateral monitoring, and risk management.
• Knowledge of legal documents templates as part of the SBL lifecycle.
• Proficiency in deploying applications using Docker, Kubernetes, and Open Shift.
• Expertise in designing and implementing distributed systems using Java, Microservices, with a strong focus on system integration, APIs (including AI‑based API usage), and data‑intensive applications.
• Experience with in a Wealth Management, Private Banking, or Credit technology environment.
• Knowledge of financial instruments commonly used as collateral (e.g., equities, fixed income, mutual funds) and their valuation principles.
• Familiarity with lending regulations (e.g., Regulation U) and key risk management concepts (e.g., Loan‑to‑Value ratios, concentration risk).
• Proven experience as a senior technical analyst/developer on large‑scale, complex financial technology projects.
• Strong data engineering skills with experience with both relational and No
  
  SQL databases.
• A strong understanding of implementing secure communication protocols like TLS and token‑based authentication (JWT) etc.
• Familiarity is desirable with ML/Dev Ops practices (monitoring, troubleshooting, CI/CD for models).
• Excellent communication skills with the ability to translate complex SBL concepts and technical details between business and technology teams.

• Bachelor’s degree/University degree or equivalent experience.
• Master’s degree preferred.

Irving, Texas, United States

Full time

Salary range: $ – $.

Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive…