Senior GEN AI Analyst

Citi; New York (NY); Hybrid; USD 26,000 - 44,000; Full time

Job summary

Citi seeks a Senior GEN AI Analyst in a hybrid setup in Haryana to design and build cutting-edge AI/ML solutions. You will shape end-to-end LLM/RAG pipelines, prototype autonomous AI systems, and partner with business leads to translate analytics into impact.

Strong Python and SQL skills are essential, with a focus on responsible AI and risk-aware practices. You will report to the AIM leadership team and collaborate across data science, engineering, and product teams to deliver scalable,

Qualifications

• 4-6 years of hands-on AI/ML or data science experience.
• Strong foundation in classical ML algorithms and practical applications.
• Deep understanding of LLMs and end-to-end Retrieval-Augmented Generation pipelines.
• Expertise in prompt engineering and LLM evaluation/testing methodologies.
• Proficiency in Python and core AI/ML libraries.
• Experience retrieving and manipulating large datasets using SQL.

Responsibilities

• Design, develop, and deploy LLM-based solutions with focus on RAG systems.
• Apply Agentic AI concepts to solve complex business problems.
• Use diverse ML techniques to generate insights and improve AI-driven solutions.
• Lead prompt engineering efforts and establish testing frameworks for LLM apps.
• Work with large datasets to source, clean, and prepare data for modeling.
• Translate AI/ML findings into actionable insights for stakeholders.
• Assess risk and ensure compliance with laws and Citi policies.

Skills

AI/ML experience

Python

LLMs

RAG pipelines

Prompt engineering

SQL

Education

Bachelor's degree in CS/Stats/Engineering/Math

Tools

XGBoost

Pandas

NumPy

Job description

Senior GEN AI Analyst

Job Req Id:

26983055

Location(s):

Haryana, India

Job Type:

Hybrid

Posted:

Sep. 09, 2026

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

About CITI

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities.

Analytics and Information Management (AIM)

Citi AIM was established in 2003, and is located across multiple cities in India – Bengaluru, Chennai, Pune and Mumbai. It is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytic methodologies.

What do we do?

The North America Consumer Bank – Data Science and Modeling team analyzes millions of prospects and billions of customer level transactions using big data tools and machine learning, AI techniques to unlock opportunities for our clients in meeting their financial needs and create economic value for the bank.

The team extracts relevant insights, identifies business opportunities, converts business problems into modeling framework, uses big data tools, latest deep learning and machine learning algorithms to build predictive models, implements solutions and designs go-to-market strategies for a huge variety of business problems.

The Spec Analytics Intmd Analyst is a developing role for an AI/ML professional. This role is focused on designing and building cutting‑edge solutions by harnessing the power of both advanced machine learning and Large Language Models. The ideal candidate will have a deep understanding of the modern AI landscape, with hands‑on experience applying these technologies to solve real‑world business challenges. You will integrate in-depth specialty area knowledge with a solid understanding of industry standards and practices, and will have the latitude to solve complex problems independently. This role has a direct impact on the business's core activities, and the quality of your work will influence the success of your team and its partners. The role will report to the AVP/VP leading the team.

Responsibilities:

• Design, develop, and deploy end‑to‑end solutions leveraging Large Language Models (LLMs), with a strong focus on building and optimizing Retrieval‑Augmented Generation (RAG) systems.
• Apply the fundamentals of Agentic AI to create autonomous and intelligent systems that solve complex business problems.
• Utilize a broad range of machine learning techniques, including predictive modeling (e.g., Gradient Boosting, XGBoost) and unsupervised learning (e.g., Clustering), to generate insights and enhance AI‑driven solutions.
• Lead advanced prompt engineering efforts and establish robust testing frameworks to ensure the performance, accuracy, and safety of LLM‑based applications.
• Work with large and complex datasets to source, clean, and prepare data for both traditional modeling and advanced LLM applications.
• Translate complex AI/ML concepts and analytical findings into actionable insights and communicate them clearly to both technical and non‑technical stakeholders.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets, by driving compliance with applicable laws, rules, and regulations.

Qualifications:

• 4-6 years of relevant hands‑on experience in an AI, ML, or data science role.
• Strong foundation in classical machine learning algorithms (e.g., Gradient Boosting, Clustering, XGBoost) and their practical applications.
• Deep understanding of Large Language Models (LLMs), and proven, hands‑on experience building end‑to‑end Retrieval‑Augmented Generation (RAG) pipelines.
• Demonstrable expertise in advanced prompt engineering techniques and a strong grasp of LLM evaluation and testing methodologies.
• Strong proficiency in Python and its core AI/ML libraries
• Expertise in retrieving and manipulating large datasets using SQL.
• Excellent communication and interpersonal skills, with the ability to build partnerships with cross‑functional leaders in a matrix work environment.
• A proactive, can‑do attitude and a strong willingness to learn and adapt within the rapidly evolving AI landscape.

Education:

• Bachelors/University degree or equivalent experience in a quantitative field such as Computer Science, Statistics, Engineering, or Mathematics.

------------------------------------------------------

Job Family Group:

Decision Management

------------------------------------------------------

Job Family:

Specialized Analytics (Data Science/Computational Statistics)

------------------------------------------------------

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.

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.