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Overview of the Role
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.
Job Summary
The USCC Architecture and AI Engineering group is at the forefront of technological innovation, and we are looking for a highly motivated and talented Generative AI/AI Engineer to join our dynamic team. This is an exciting opportunity to work on cutting-edge AI solutions that will shape the future of our industry. We are seeking a hands-on individual with a passion for rapid prototyping, a deep curiosity for emerging technologies, and the drive to turn ambitious ideas into reality. If you are eager to build, learn, and grow in the fast-paced world of Generative and Agentic AI, this role is for you.
Key Responsibilities
- Develop & Prototype:
Design, build, and iterate on prototypes for Generative and Agentic AI applications with speed and agility, demonstrating the art of the possible.
- Implement AI Models:
Implement, train, and fine-tune a variety of machine learning and deep learning models to solve complex business problems.
- Build Robust Systems:
Develop and maintain clean, efficient, and scalable code for AI/ML systems, with a focus on production-level quality.
- Manage Data Pipelines:
Engineer and manage sophisticated data handling and preprocessing pipelines to ensure high-quality data for training and inference.
- Deploy & Operate:
Utilize MLOps best practices to deploy AI applications in containerized environments like Open Shift, ensuring robust monitoring, scalability, and reliability.
- Innovate & Research:
Actively monitor and research the latest trends, breakthroughs, and tools in AI/ML. Present findings and lead proof-of-concept projects to integrate new technologies into our stack.
- Collaborate:
Work closely with senior engineers, architects, and product managers in a highly collaborative environment to translate business requirements into technical solutions.
Required Skills and Qualifications
-
5-8 years in a product development/product management environment
-
Python Proficiency:
Strong and efficient programming skills in Python, including deep familiarity with AI-centric libraries (e.g., Num Py, Pandas, Scikit-learn).
- ML/DL Foundation:
Solid understanding and practical implementation experience with machine learning algorithms and deep learning architectures (e.g., Transformers, CNNs, RNNs).
- Generative AI Experience:
Demonstrable understanding of and hands-on experience with Generative AI, Large Language Models (LLMs), and Agentic AI frameworks.
- Data Expertise:
Proven ability in handling and preprocessing large and complex datasets, including data cleaning, feature engineering, and validation.
- MLOps Awareness:
Working experience or strong familiarity with MLOps principles, including containerizing applications using Docker and deploying on platforms like Open Shift or Kubernetes.
- Problem-Solving:
Strong analytical and problem-solving skills with the ability to tackle complex challenges independently.
Education
- Bachelor’s/University degree or equivalent experience
Core Technical Stack & Expertise
The ideal candidate will have hands-on experience or deep familiarity with the following technologies:
- LLMs:
Gemini, OpenAI models (GPT series), Copilot, Claude, Llama, and experience with Local Models.
- Frameworks:
Lang Chain, Llama Index, and the Hugging Face ecosystem (Transformers, Datasets, Tokenizers).
- Orchestration:
Lang Graph and conceptual understanding of building Multi-Agent Systems.
- Development:
Building production-ready services using Python, FastAPI, and asynchronous programming patterns.
- RAG (Retrieval-Augmented Generation):
Advanced retrieval techniques using Vector DBs (e.g., Pinecone, Chroma) and PostgreSQL (with pgvector).
- ML/DL Platforms:
Py Torch and/or Tensor Flow for building and fine-tuning models.
- Deployment & Monitoring:
Containerization with Docker, deploying production APIs, and implementing robust monitoring and logging.
- Applied AI Skills:
Advanced Prompt Engineering, AI Workflow Design, and GenAI application optimization for cost, latency, and performance.
The Ideal Candidate
- You are a builder at heart, driven by a desire to create and experiment.
- You thrive in a fast-paced environment and excel at turning ideas into functional prototypes quickly.
- You are a voracious learner, constantly keeping up-to-date with the latest research papers, open-source projects, and technology trends in AI.
- You are a proactive and collaborative team player with excellent communication skills.
- You are passionate about solving real-world problems and delivering tangible impact through technology.
Job Family Group:
Technology
Job Family:
Digital Software Engineering:
Time Type:
Full time
Primary Location:
Jacksonville Florida United States:
Primary Location Full Time Salary Range:
$96,960.00 - $145,440.00
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.
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Citigroupについて

Citigroup
PublicCitigroup Inc. or Citi is an American multinational investment bank and financial services company based in New York City. The company was formed in 1998 by the merger of Citicorp, the bank holding company for Citibank, and Travelers; Travelers was spun off from the company in 2002.
10,001+
従業員数
New York City
本社所在地
$86B
企業価値
レビュー
3.7
10件のレビュー
ワークライフバランス
4.0
報酬
2.8
企業文化
4.2
キャリア
3.5
経営陣
3.3
68%
友人に勧める
良い点
Good work-life balance
Supportive management and colleagues
Good benefits
改善点
Low/uncompetitive salary and pay
Poor management and lack of direction
Heavy workload and long hours
給与レンジ
38件のデータ
Mid/L4
Senior/L5
Mid/L4 · BUSINESS ANALYTICS SENIOR ANALYST
3件のレポート
$117,000
年収総額
基本給
$120,800
ストック
-
ボーナス
-
$117,000
$117,000
面接体験
3件の面接
難易度
3.3
/ 5
期間
14-28週間
体験
ポジティブ 0%
普通 33%
ネガティブ 67%
面接プロセス
1
Application Review
2
HR Screen
3
Technical Assessment
4
Hiring Manager Interview
5
Final Round Interview
6
Offer Decision
よくある質問
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
Culture Fit
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