AI Engineer, Rates VP - Citi - #2141929

eFinancialCareers


Date: 2 weeks ago
City: London
Contract type: Full time
Work schedule: Full day
eFinancialCareers

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

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
  • 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
What Citi can offer you
By joining Citi London, you will not only be part of a business casual workplace and receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
  • 27 days annual leave (plus bank holidays)
  • A discretional annual performance related bonus
  • Private Medical Care & Life Insurance
  • Employee Assistance Program
  • Pension Plan
  • Paid Parental Leave
  • Special discounts for employees, family, and friends
  • Access to an array of learning and development resources
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive.
If you are actively working with clients, have a passion for relationships and want to be part of a successful global franchise - then apply today.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Job Family Group:
Institutional Trading ------------------------------------------------------

Job Family:
Trading ------------------------------------------------------

Time Type:
Full time ------------------------------------------------------

Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------

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

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