Senior AI Engineer, Banking Technology

## Senior AI Engineer, Banking Technology Apply:
Hybrid:
Jersey City New Jersey United States:
Full time:
Posted Today:

** 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:

*** 6–10 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.
* This job…