Global Rates - AI Engineer - VP
Back to Jobs
CitibankGet Smart Job AI Coach in the appFree on iOS and Android 

Google




Global Rates - AI Engineer - VP
175,000–250,000 / Year
Location
New York New York United States
Experience
Senior
Posted
Jul 10, 2026
Apply by
August 9, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
Job Description
**Position Overview**
The Global Rates business is seeking an exceptional AI Engineer to drive the development and implementation of cutting-edge artificial intelligence solutions that will transform our trading, risk management, and client service capabilities. This role sits at the intersection of advanced AI technology and financial markets, offering the opportunity to build innovative solutions that directly impact business outcomes.
As an AI Engineer within Global Rates, you will be responsible for designing, developing, and deploying AI-powered applications and systems that leverage the latest advancements in generative AI, agentic frameworks, and intelligent automation. You will work closely with traders, sales, quants and technology teams to identify opportunities for AI integration and deliver production-grade solutions.
**Key Responsibilities**
**AI Solution Development**
- Design, develop, and deploy production-ready AI applications using generative AI techniques, including large language models (LLMs), retrieval-augmented generation (RAG), and agentic frameworks
- Build intelligent automation solutions that enhance trading workflows, risk analysis, and operational efficiency
- Develop agentic coding systems that can autonomously generate, test, and optimize code for financial applications
- Create conversational AI interfaces and intelligent assistants for traders and business users
**Technical Architecture & Implementation**
- Architect and implement RAG pipelines for knowledge retrieval from structured and unstructured financial data sources
- Design and optimize vector databases and embedding strategies for efficient information retrieval
- Develop prompt engineering frameworks and fine-tuning strategies for domain-specific LLM applications
- Build multi-agent systems that can collaborate to solve complex financial problems
- Implement guardrails, validation frameworks, and monitoring systems for AI applications
**Data Engineering & Integration**
- Design and build data pipelines to support AI/ML workflows, integrating market data, trade data, and research content
- Develop ETL processes for preparing training data and maintaining knowledge bases
- Create APIs and microservices to integrate AI capabilities into existing trading and risk platforms
- Optimize data storage and retrieval mechanisms for high-performance AI applications
**Collaboration & Innovation**
- Partner with business stakeholders to identify high-impact use cases for AI implementation
- Collaborate with quantitative researchers to integrate AI techniques into pricing and risk models
- Work with compliance and risk teams to ensure AI solutions meet regulatory and governance requirements
- Stay current with emerging AI technologies and evaluate their applicability to Global Rates business needs
- Contribute to the firm's AI/ML community of practice and knowledge sharing initiatives
**Required Qualifications**
**Education**
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related quantitative field
- Strong academic foundation in algorithms, data structures, and software engineering principles
**Professional Experience**
- 1-5 years of professional experience in AI/ML engineering, software development, or data science roles
- Demonstrated experience building and deploying production AI applications
- Proven track record of delivering end-to-end technical solutions
**Technical Skills - Core Requirements**
**Generative AI & Machine Learning:**
- Hands-on experience with generative AI techniques and large language models (GPT, Claude, Llama, etc.)
- Practical experience implementing **Retrieval-Augmented Generation (RAG)** systems
- Experience with **agentic frameworks and autonomous coding systems**
- Knowledge of **statistics and machine learning techniques**
**Programming & Development:**
- Strong proficiency in Python
- Strong SQL skills
- Front end development
------------------------------------------------------
## **Job Family Group:**
Institutional Trading
------------------------------------------------------
## **Job Family:**
Trading
------------------------------------------------------
## **Time Type:**
Full time
------------------------------------------------------
## **Primary Location:**
New York New York United States
------------------------------------------------------
## **Primary Location Full Time Salary Range:**
$175,000.00 - $250,000.00
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:**
Jul 14, 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](https://www.citigroup.com/citi/accessibility/application-accessibility.htm).View Citi’s [EEO Policy Statement](https://www.citigroup.com/global/eeo-aa-policy) and the [Know Your Rights](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) poster.*
Key Responsibilities
- Design, develop, and deploy production-ready AI applications using generative AI techniques, LLMs, RAG, and agentic frameworks.
- Build intelligent automation solutions to enhance trading workflows, risk analysis, and operational efficiency.
- Develop agentic coding systems that autonomously generate, test, and optimize code for financial applications.
- Create conversational AI interfaces and intelligent assistants for traders and business users.
- Architect and implement RAG pipelines for knowledge retrieval from structured and unstructured financial data.
- Design and optimize vector databases and embedding strategies for efficient information retrieval.
- Develop prompt engineering frameworks and fine-tuning strategies for domain-specific LLM applications.
- Build multi-agent systems that collaborate to solve complex financial problems.
- Implement guardrails, validation frameworks, and monitoring systems for AI applications.
- Design and build data pipelines to support AI/ML workflows, integrating market and trade data.
- Develop ETL processes for preparing training data and maintaining knowledge bases.
- Create APIs and microservices to integrate AI capabilities into existing trading and risk platforms.
- Partner with business stakeholders to identify high-impact use cases for AI implementation.
- Collaborate with quantitative researchers to integrate AI techniques into pricing and risk models.
- Work with compliance and risk teams to ensure AI solutions meet regulatory and governance requirements.
Requirements
- Bachelor's or Master's degree in Computer Science
- Data Science
- Machine Learning
- Artificial Intelligence
- or related quantitative field
Skills Required
PythonSQLGenerative AILarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)Agentic FrameworksAutonomous Coding SystemsStatisticsMachine LearningFront End DevelopmentData PipelinesETLAPI DevelopmentVector DatabasesPrompt EngineeringFine-tuningCollaborationCommunicationProblem Solving
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- 401(k)
- Life insurance
- Accident insurance
- Disability insurance
- Wellness programs
- Paid time off
- Vacation
- Sick leave
- Paid holidays
- Incentive awards
- Retention awards
App exclusive · Free
Smart Job AI Coach
Your personal interview coach on every job — readiness tips, profile improvements, and role-specific prep. Available only in the Pulse Job app.
Interview readiness
See how prepared you are and what to improve for each role.
Personalized tips
Actionable suggestions based on your profile and the job.
After you apply
Keep coaching momentum from job detail through application success.
Similar roles for you
Matched using this role's title and skills. Open the job search anytime to see every listing.

Senior AI Engineer
Hadean
Full-timeEasy applyHybrid
LondonSenior

Director, AI Transformation
Harry's
285,000–300,000 / Year
Full-timeEasy applyHybrid
New YorkSenior
AI Architect, Partner Engineering
Full-timeEasy applyHybrid
LondonSenior

Technology Manager, AI & Data
Engelhart Commodities Trading Partners
Full-timeEasy applyWork from Office
LondonSenior

Senior Solution Engineer- Cloudflare Developer Platform (Start-Ups) Washington DC
Cloudflare
Full-timeEasy applyWork from Office
DistributedSenior

Back-End Python Engineer (AWS - Desktop)
Miratech
Full-timeEasy applyWork from Home
BengaluruSenior