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Senior AI Engineer Banking Technology

Job in New York, New York County, New York, 10261, USA
Listing for: Citi
Full Time position
Listed on 2026-07-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Backend Developer, Full Stack Developer
Job Description & How to Apply Below
Position: Senior AI Engineer for Banking Technology
Location: New York

Senior AI Engineer for Banking Technology

Apply (opens in new window)

Job Req :

Location(s):

Jersey City, New Jersey, United States

Job Type:

Hybrid

Posted:

Apr. 16, 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 more than 230,000 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

Senior AI Engineer, Banking Technology – C13 (VP Level) (Hybrid)

Role Overview

Citi’s Banking Technology organization is seeking a highly hands-on Senior AI Engineer to design, build, and deploy cutting‑edge AI solutions for Investment, Corporate, and Commercial Banking.

This role focuses on implementing scalable, agentic AI frameworks and generative AI solutions within small, agile squads. The successful candidate will operate with an AI‑first mindset
, emphasizing rapid prototyping, MVP‑driven development, and iterative delivery of production‑grade AI capabilities.

Key Responsibilities

AI Solution Development: Design, implement, and deploy scalable agentic AI frameworks and generative AI solutions for critical business use cases, ensuring robustness, performance, security, and reliability.

Agentic Systems: Develop and integrate agentic AI systems leveraging multiple model providers and platforms (e.g., OpenAI, Anthropic, Google APIs).

Full‑Stack AI Engineering: Build full‑stack applications integrating LLM‑driven workflows and AI coding tools (e.g., Devin, Git Hub Copilot).

Iterative Delivery: Drive an MVP‑first, rapid‑iteration approach with continuous experimentation and improvement.

Evaluation & Optimization: Define and implement metrics, evaluation strategies, and feedback loops to continuously improve AI system performance and behavior.

Emerging Technologies: Research, prototype, and integrate advances in agent‑based, autonomous, and generative AI technologies.

Technical

Collaboration:

Contribute hands‑on within cross‑functional teams and provide technical guidance and mentorship to junior engineers.

Domain Alignment: Ensure AI solutions are well‑aligned to banking and financial services requirements, constraints, and business outcomes.

Qualifications

Programming: Strong proficiency in Python and/or Java (Spring Boot); working knowledge of JavaScript/Type Script (Angular, Node.js). Full‑stack experience is a plus.

AI/ML Expertise:

Solid understanding of core AI concepts such as knowledge representation, planning, and multi‑agent systems.

Hands‑on experience with LLMs, RAG, prompt engineering, MCPs, and agent frameworks (e.g., Google ADK).

Practical experience with ML frameworks and libraries (Tensor Flow, PyTorch, Scikit‑learn, Num Py, Pandas).

Familiarity with AI coding tools such as Devin, Claude Code, Git Hub Copilot, and Antigravity.

Software Engineering: Strong grounding in modern engineering practices including Git, CI/CD, testing, code reviews, agile delivery, application resiliency, and security.

Architecture: Experience designing API‑first, microservices‑based and event‑driven architectures, including data engineering patterns for AI systems.

Platforms: Hands‑on experience with Docker, Kubernetes, and Open Shift.

Problem Solving & Communication: Strong analytical skills with the ability to clearly communicate complex technical concepts.

Domain Knowledge: Solid understanding of banking/financial services and regulated environments.

Nice to Have: Experience in data science (statistical modeling, experimentation) and interest in mentoring junior AI engineers.

Experience:

6+ years of progressive software engineering experience with a strong hands‑on coding background.

2+ years focused on AI software development, LLM‑based solutions, agentic systems, and/or machine learning.

Demonstrated experience delivering enterprise‑scale AI capabilities into production.

Education:
Bachelor’s or Master’s degree in Computer Science, AI, Robotics, or a related quantitative discipline.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Position Requirements
10+ Years work experience
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