Vice president lead AI ML engineer

Citi; New York (NY); Hybrid; USD 33,000 - 83,000; Full time

Job summary

Citi, a global financial services leader, seeks a Vice President Lead AI/ML Engineer to design and deploy LLM-powered solutions in the North America Consumer Bank data science and modeling team. You will work on Retrieval-Augmented Generation, agentic AI, and large-scale data challenges.

The role demands 10+ years, deep ML knowledge, Python, SQL, and strong communication with cross-functional leaders to translate complex analytics into actionable business insights while ensuring risk controls

Qualifications

• 10+ years in AI/ML or data science roles.
• Strong Python with AI/ML libraries.
• Experience with LLMs and RAG pipelines.
• Prompts engineering and model evaluation.
• SQL for data retrieval and manipulation.
• Excellent cross-functional communication.

Responsibilities

• Design, develop, and deploy end-to-end LLM-based solutions with RAG.
• Build autonomous AI systems using Agentic AI concepts.
• Apply ML techniques for predictive modelling and unsupervised learning.
• Lead prompt engineering and testing frameworks.
• Prepare data from large datasets for traditional modelling and LLMs.
• Translate insights to stakeholders and drive business impact.

Skills

Python

SQL

LLMs

RAG pipelines

Prompt engineering

Communication

Leadership

Education

Bachelor's degree (CS/Engineering/Math)

Tools

XGBoost

Gradient Boosting

Clustering

Job description

Vice president lead AI ML engineer

Job Req Id:

26992823

Location(s):

Haryana, India, Bengaluru, Karnataka, 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.

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

• 10+ 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.

Working Environment: office setting, minimal travel required. Effort: minimal physical effort required.

Job Family Group:

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.

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