AI/Full Stack Java Tech Lead – Vice President

Citi

Remote

Quick summary

Work type: Remote
Location: Irving, TX
Salary: $138,720–$208,080 / yr
Posted: 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k

This role $173k

$130k most similar roles pay here $219k

This role pays less than 53% of similar roles. Most pay $151,500–$209,187 — the shaded band above. At the midpoint, this role pays about $173k versus about $180k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 397 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 367 roles with salary data.

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At a glance

TL;DR · AI/Full Stack Java Tech Lead – Vice President

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The AI/Full Stack Tech Lead role is a strategic technical specialist within the Securities-Based Lending (SBL) program of the OMAI Initiative, requiring deep expertise in SBL lifecycle processes from underwriting to collateral management. This senior position involves hands-on development and coding of generative AI solutions, including designing data pipelines for complex client portfolios and automating legal document analysis with DocuSign integration. The engineer will work closely with Credit Risk, Legal, and Compliance teams to ensure regulatory adherence while implementing robust APIs and integrating the SBL platform with critical systems. Key skills include proficiency in Docker, Kubernetes, OpenShift, Java, microservices, and both relational and NoSQL databases, alongside experience with AI tools and financial technology projects.

Skills

Docker Kubernetes OpenShift Java Microservices AI APIs NoSQL Relational databases CI/CD Terraform Python PostgreSQL AWS Grafana Prometheus

What you'll do

Design and implement AI solutions to automate SBL lifecycle processes.
Develop robust APIs for integrating the SBL platform with critical systems.
Automate analysis of complex legal documents using AI and integrate with DocuSign.
Maintain data infrastructure for SBL solutions, including relational and NoSQL databases.
Deploy AI models into production on OpenShift using Docker and Kubernetes.

What we're looking for

6-10 years of experience in application development with a focus on financial technology.
Deep knowledge of the Securities-Based Lending lifecycle and related legal documents.
Proficiency in deploying applications using Docker, Kubernetes, and OpenShift.
Expertise in designing and implementing distributed systems with Java and microservices.
Strong data engineering skills with experience in relational and NoSQL databases.

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