Senior AI Engineer for Banking Technology

Remote in Jersey City, NJ, US • Posted 2 hours ago • Updated 2 hours ago
Full Time
On-site
USD $142,320.00 - 213,480.00 per year
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Job Details

Skills

  • Rapid Prototyping
  • Use Cases
  • Workflow
  • MVP
  • Optimization
  • Evaluation
  • Emerging Technologies
  • Research
  • Generative Artificial Intelligence (AI)
  • Collaboration
  • Python
  • Java
  • Spring Framework
  • JavaScript
  • TypeScript
  • AngularJS
  • Node.js
  • Prompt Engineering
  • TensorFlow
  • PyTorch
  • scikit-learn
  • NumPy
  • Pandas
  • GitHub
  • Git
  • Continuous Integration
  • Continuous Delivery
  • Testing
  • Agile
  • API
  • Microservices
  • Data Engineering
  • Docker
  • Kubernetes
  • Conflict Resolution
  • Problem Solving
  • Communication
  • Analytical Skill
  • Banking
  • Financial Services
  • Data Science
  • Statistical Models
  • Mentorship
  • Software Engineering
  • Software Development
  • Machine Learning (ML)
  • Computer Science
  • Artificial Intelligence
  • Robotics
  • Application Development
  • Jersey
  • Insurance
  • Law
  • Accessibility

Summary

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, GitHub 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/TypeScript (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 (TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas).

Familiarity with AI coding tools such as Devin, Claude Code, GitHub 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 OpenShift.

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.

Job Family Group:
Technology

Job Family:
Applications Development

Time Type:
Full time

Primary Location:
Jersey City New Jersey United States

Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00

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.

Most Relevant Skills
Please see the requirements listed above.

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

Anticipated Posting Close Date:
Apr 23, 2026

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi's EEO Policy Statement and the Know Your Rights poster.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10107494
  • Position Id: db2a6b95fd710c28303ef4ce8bae8918
  • Posted 2 hours ago
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