Senior Engineering Lead- Senior Vice President

Citi; New York (NY); Hybrid; USD 177,000 - 265,000; Full time

Job summary

Citi is seeking a Senior Engineering Lead—Senior Vice President to guide complex engineering initiatives across BI, Big Data, Agentic AI, and ML. You will lead a global team to build high-performance, scalable software for Counterparty Credit Risk management and oversight, shaping architecture and development practices.

Ideal candidates bring 10+ years in full-stack development, Java/J2EE, cloud and containerization, and a proven ability to drive AI-enabled engineering while navigating risk and

Qualifications

• Full-stack development with 10+ years experience.
• Hands-on web technologies (HTML, CSS, React JS) and REST-APIs with Java/J2EE backend.
• Deep experience with Big Data and data platforms for AI/ML workloads.
• Strong knowledge of cloud platforms (AWS/Azure/GCP) and container deployments (Docker/Kubernetes/OpenShift).
• Experience with Agile SDLC and test-driven development.
• Knowledge of CI/CD pipelines and tools (JIRA, SonarQube, Jenkins).
• Understanding of JVM internals, memory management, and performance tuning.

Responsibilities

• Provide technical leadership and design oversight for scalable, intelligent systems.
• Develop key components and mentor team with AI design patterns (Agentic AI).
• Lead design/code reviews and raise engineering standards; promote AI-assisted development practices.
• Collaborate with global teams to deliver software solutions for risk management workflows.
• Drive adoption of new technologies while complying with Citi architectural guidelines (AI/ML).
• Mentor mid-level/junior developers and analysts in AI/ML and data governance.
• Assess risk and ensure regulatory compliance in all engineering decisions.

Skills

Java Core

JVM internals

React JS

REST APIs

Big Data

Cloud platforms

Docker/Kubernetes

CI/CD pipelines

AI/ML

Git/Bitbucket

Jira

SonarQube

OpenShift

Education

Bachelor's degree

Tools

Docker

Kubernetes

Jenkins

SonarQube

OpenShift

Git

Bitbucket

Job description

Senior Engineering Lead- Senior Vice President

Job Req Id:

26992314

Location(s):

Rutherford, New Jersey, United States

Job Type:

Hybrid

Posted:

Sep. 08, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

This is a Senior Lead Engineer position responsible for establishing and implementing innovative technology solutions and programs in coordination with the Technology Team. The overall objective of this role is to lead complex engineering initiatives across various domains, including Business Intelligence (BI) tools, Big Data, Agentic AI, and Machine Learning. We are looking for a Senior Principal Engineer with extensive experience building robust, high-performance, and large-scale applications. We are constantly evolving our significant software assets and are seeking a leader who is passionate about leveraging diverse technologies to drive technical excellence and innovation.

Team Background

The Credit Risk Technology Team is responsible for delivering Counterparty Credit Risk Management software solutions. These tools allow sales, traders, operations staff and risk officers to manage Citi's exposure to financial institutions, governments and corporates that trade with Citi. The team builds and maintains software that provides a complete platform for their users: limit monitoring, exception management, stress testing analysis and escalation workflow capabilities are some key areas of focus.

Key Responsibilities

• Provide technical leadership and development oversight to the wider team of Software Engineers/Analysts. Ensure application design adheres to the appropriate architectural and design patterns for scalable and intelligent systems.

• Develop key software components personally, and use your code as a teaching tool across the team for patterns and techniques, especially concerning Agentic AI design and implementation.

• Host sessions for design and code review at multiple levels of the organization. Improve our engineering standards and process to make the team more capable and efficient, embracing AI-assisted development practices, including the use of tools like Git Copilot and Devin AI.

• Collaborate effectively with a large global team of software engineers, business analysts, dev-ops and support staff to deliver software solutions for the business.

• Lead the adoption of new technologies where appropriate to solve business problems while adhering to Citi's architectural guidelines, with a strong focus on Agentic AI and Machine Learning frameworks.

• Serve as advisor or coach to mid-level/junior developers and analysts, helping build the overall engineering capabilities of the team, particularly in AI/ML and intelligent systems development.

• Appropriately assess risk when decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Ideal background

• Full-stack developer with 10+ years of experience in designing and developing robust, scalable, and maintainable applications applying Object Oriented Design principles.

• Hands-on experience in Web technologies (HTML, CSS, React JS), REST-APIs, and Backend using Java/J2EE technologies.

• Deep experience with Big Data technologies and data platforms capable of handling vast datasets for training, serving, and managing AI models.

• Strong knowledge of cloud platforms (AWS, Azure, or Google Cloud) and deployment/packaging solutions such as Dockers/Kubernetes, OpenShift.

• Experience with Agile software development processes with a strong emphasis on test driven development.

• Strong knowledge of CI/CD pipelines and experience in tools such as JIRA, BlackDuck, SONAR etc.

• Deep understanding of JVM internals such as class loading and memory management.

Skills

Extensive experience working with most if not all the technologies listed below:

• Java Core with extensive hands-on experience with concurrent programming.

• Spring Framework including Core, Integration, Batch, JDBC, Hibernate.

• Distributed Caching frameworks such as Oracle Coherence, Redis or equivalent.

• Cloud computing technologies with practical experience working with containers, microservices and large datasets (Docker, Kubernetes).

• Expertise in Big Data / Data Lake system architecture that supports enterprise data warehouse, real-time data processing, and large-scale data ingestion for AI/ML workloads.

• Databases - RDBMS preferably Oracle, NoSQL preferably MongoDB.

• Familiarity with Linux environment including scripting skills.

• SDLC/Dev Ops - Git/BitBucket, CI/CD pipeline frameworks such as Jenkins, SonarQube, JIRA, any secure coding toolkits.

• Demonstrated ability to integrate and optimize AI-assisted coding and development tools (e.g., Git Copilot, Devin AI) into team workflows to maximize efficiency and innovation.

• Hands-on experience with data governance, metadata management, and data lineage platforms to maintain high data quality and auditability for AI systems.

• Ability to evaluate design trade-offs and document choices effectively.

• Demonstrated capacity to build sophisticated tooling for development and production team use.

Preferred:

• Knowledge and experience with Business Intelligence (BI) tools such as Tableau and Cognos for data visualization and reporting.

• Experience with Big Data querying tools including Google BigQuery, Starburst, and DuckDB.

• Experience with prominent Machine Learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face) and their deployment in production.

• Deep understanding and practical application of Machine Learning algorithms (supervised, unsupervised, reinforcement learning) and statistical modeling, with a focus on interpretability and bias detection in financial applications.

• Knowledge of large language models, natural language processing (NLP), computer vision, and time-series analysis techniques as applied to Agentic AI and risk modeling.

• Experience in designing, developing, and implementing AI agents capable of autonomous decision-making, adaptive learning, and complex interaction within a financial domain.

Education:

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

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Primary Location:

Rutherford New Jersey United States

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Primary Location Full Time Salary Range:

$176,720.00 - $265,080.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date:

Sep 15, 2026

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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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