Lead Data Scientist - Gen AI

Citi; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Citi is looking for a Lead Data Scientist – Gen AI in Bengaluru, India. This role is crucial for driving the development of innovative AI products, specifically in agentic systems. The ideal candidate will have 4-6 years of experience and hands-on expertise in generative AI, frameworks like LangChain, and AI governance.

The successful applicant will collaborate with product teams, ensure compliance with regulations, and shape AI solutions that are scalable and robust. Citi values diversity and offers equal opportunities to all qualified candidates.

Qualifications

• 4-6 years of Data Science experience, specifically in Generative AI and agentic AI solutions.
• Experience with RAG frameworks or advanced prompt engineering frameworks.
• Exposure to AI governance principles and evaluation.

Responsibilities

• Build and optimize advanced AI solutions and multi-agent workflows.
• Design governance frameworks to ensure security and reliability.
• Translate product vision into technical implementation plans.

Skills

Data Science

Generative AI

Problem-solving

Communication

Cross-functional collaboration

Education

Masters in a quantitative field

Tools

LangChain

Google ADK

LangFuse

Job description

Lead Data Scientist – Gen AI

The Lead Data Scientist – Gen AI is a key hands‑on builder responsible for shaping and delivering complex, platform centric AI solutions across design, development, and deployment stages. This role requires leveraging substantial experience to build robust, scalable, and cutting‑edge AI products, with a focus on agentic systems and advanced evaluation.

Responsibilities

• Build and optimize advanced AI solutions, including multi‑agent workflows, using frameworks such as LangChain and Google ADK.
• Design and implement robust governance and evaluation frameworks using platforms like LangFuse to ensure agentic AI systems are secure, reliable, and traceable.
• Partner with Product teams to translate product vision into concrete technical implementation plans.
• Specialization in marketing, risk, digital and AML fields possible.
• 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, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications

• 4-6 years Data Science experience.
• Hands‑on experience building and optimizing Generative AI and agentic AI solutions.
• At least one end‑to‑end project experience using RAG (Retrieval‑Augmented Generation), agentic AI, or advanced prompt engineering frameworks such as LangChain or Google ADK.
• Exposure to AI governance and evaluation principles, including platforms like LangFuse.
• Strong problem‑solving abilities with a product‑oriented mindset.
• Excellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to matrix work environment.
• Ability to build partnerships with cross‑function leaders.

Education

• Masters University degree or equivalent experience in a quantitative field.

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.