Vice president lead AI ML engineer

• 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 Specialized Analytics VP 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 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:
• •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.

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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. ------------------------------------------------------

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