AI Lead Engineer - Banking Technology - Senior Vice President

Citi; New York (NY); Hybrid; USD 42,000 - 84,000; Full time

Job summary

Citi is seeking an AI Lead Engineer in its Banking Technology group. You will lead design and deployment of agentic AI frameworks and full-stack AI solutions for banking use cases.

The role emphasizes hands-on coding, architectural leadership, and collaboration with cross-functional teams to deliver secure, scalable AI-enabled banking services.

Qualifications

• 10+ years of progressive software engineering experience with hands-on coding.
• 3+ years of dedicated AI/software development experience including prompt engineering, ML, or agentic AI.
• Strong experience architecting enterprise-scale AI projects.
• Bachelor's degree in CS/IT/AI; Master’s degree preferred.

Responsibilities

• Spearhead end-to-end design, implementation, and deployment of scalable agentic AI frameworks and generative AI solutions for banking use cases.
• Build full-stack applications integrating ML/LLM tools into AI solutions.
• Adopt MVP-first approach with rapid iterations, A/B testing, and quick time-to-value.
• Design metrics/evaluation strategies for AI system and agent performance.
• Prototype and integrate latest advancements in agent-based and autonomous AI technologies.
• Provide hands-on technical leadership and coordinate with AI researchers, data scientists, PMs, and engineers.

Skills

Python

AI/ML

APIs

Docker

Kubernetes

LLMs

Full-stack

Git

Education

Bachelor's degree in CS/IT/AI

Master's degree preferred

Tools

FastAPI

Django

PySpark

LangChain

TensorFlow

PyTorch

Git

Job description

AI Lead Engineer - Banking Technology - Senior Vice President

Job Req Id:

26941217

Location(s):

Pune, Maharashtra, India

Job Type:

Hybrid

Posted:

Apr. 16, 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

Role

Citi's Banking Technology organization is seeking an exceptional full stack hands‑on AI Engineer to lead the design, development, and deployment of cutting‑edge AI solutions for the banking sector. This pivotal role involves architecting and implementing a scalable agentic AI framework, translating complex ideas into robust, production‑ready systems, and driving tangible business value within Citi. The ideal candidate will be a hands‑on technical leader with deep expertise in AI principles, agent‑based systems, machine learning, and advanced software engineering practices.

Key Responsibilities

• Spearhead the end‑to‑end design, hands‑on implementation, and deployment of scalable, robust agentic AI frameworks and generative AI solutions for critical banking use cases, ensuring high performance, reliability, and security.
• Build full‑stack applications that seamlessly integrate state‑of‑the‑art ML/LLM tools and services into comprehensive AI solutions.
• Champion an MVP‑first approach, focusing on rapid iterations, hypothesis testing, and A/B experiments to achieve continuous improvement and quick "time to value."
• Design and implement rigorous metrics and evaluation strategies for AI system and agent performance, driving continuous optimization and behavioral improvement.
• Proactively explore, prototype (POC), and integrate the latest advancements in AI, particularly in agent‑based systems, autonomous AI, and generative AI technologies.
• Provide hands‑on technical leadership, guiding architectural decisions, and fostering collaboration with cross‑functional teams including AI researchers, data scientists, product managers, and software engineers to integrate and scale AI solutions across Citi's products and services.
• Exhibit excellent communication and collaboration skills, effectively engaging with diverse stakeholders.

Qualifications

• Deep hands‑on experience in engineering and executing scalable enterprise solutions.
• Expert‑level proficiency in Python (e.g., FastAPI, Django, Flask, PySpark)
• Solid understanding of core AI concepts, including knowledge representation, automated planning, decision‑making under uncertainty, and multi‑agent systems.
• Hands‑on experience with relevant frameworks (e.g., Google ADK, LanGraph, LangChain, AutoGen, CrewAI, N8N).
• Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit‑Learn, NumPy, Pandas).
• Proven experience in creating, deploying, and integrating MCPs (Model Context Protocol) into agentic AI systems.
• Deep familiarity with large language models (LLMs) such as ChatGPT, Claude, Gemini, and Llama, including their application within agentic systems.
• Demonstrated experience in designing and implementing robust APIs for AI services.
• Proficient in software development best practices, including version control (Git), CI/CD pipelines, comprehensive testing, and code reviews. Strong understanding of agile methodologies, application resiliency, and security principles applied to complex AI projects. Proven expertise in system design, application development, and ensuring operational stability for AI initiatives.
• Deep experience with application and data architecture patterns and designs. Experience leveraging managed services and existing platforms, with a strong emphasis on API‑First Design, microservices, and event‑driven architectures.
• Hands‑on experience with Docker and Kubernetes.
• Excellent analytical and innovative problem‑solving skills, with a pragmatic and creative approach to overcoming complex technical challenges.
• Previous experience within the banking or financial services industry, understanding regulatory environments and specific challenges a plus.
• Proficiency in database technologies, such as Oracle, Postgres, or MongoDB.

Nice to Have:

• Proficiency in UI (e.g., Angular, React, Next.js, Node.js, TypeScript) for full‑stack development.
• Java (e.g., Spring Boot, Spring Cloud, Spring Security).

Work Experience

• 10+ years of progressive software engineering experience with a strong emphasis on hands‑on coding, demonstrating a proven track record of rapid delivery and successfully launching multiple AI features into production environments.
• Minimum 3+ years of dedicated professional experience in software development focused on AI, prompt engineering, machine learning, Generative and/or agentic AI systems.
• Strong hands‑on experience with architecting and delivering enterprise scale AI projects.
• Motivated self‑starter with the ability to quickly learn new skills and effectively navigate complex organizational structures.

Education

• Bachelor’s degree in Computer Science, Information Technology, Artificial Intelligence, Robotics, or a related quantitative field; a Master’s degree is preferred.

Job Family Group:

Technology

Job Family:

Applications Development

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.

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