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GenAI Lead Engineer - Vice President

14 days ago 2026/08/18
Other Business Support Services
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Job description

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 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

GenAI Lead Engineer


Are you ready to shape the future of banking with cutting-edge AI? At Citi, we're building more than just technology; we're innovating solutions that transform the global financial landscape?


We are seeking an exceptional and highly motivated GenAI Lead Engineer to join our dynamic team and drive the design, prototyping, and implementation of advanced AI/ML and Generative AI solutions.


This pivotal role requires a seasoned professional with a deep understanding of Generative AI technologies, a strong hands-on approach, and a proven ability to translate complex business challenges into robust, scalable, and impactful digital solutions.


If you are passionate about innovation, technical leadership, and influencing strategic direction, we encourage you to apply!


Key Responsibilities:
  • Experience Range - 11 Years Plus to 18 Years
  • Strategic Leadership: Drive the identification, evaluation, and adoption of emerging GenAI, ML, and traditional AI technologies and tools to develop innovative solutions and enhance existing platforms.
  • Solution Design & Implementation: Lead the end-to-end design, prototyping, and implementation of cutting-edge AI/ML and Generative AI solutions, ensuring they address critical business needs and scale effectively across the enterprise.
  • Cross-Functional Collaboration: Partner closely with product management, engineering teams, and business stakeholders to deeply understand requirements and translate them into precise technical specifications and actionable roadmaps.
  • Technical Mentorship: Provide guidance and mentorship to junior engineers, fostering best practices in AI/ML/GenAI development, deployment, and operational excellence.
  • Agile Development: Champion rapid delivery and iterative development, demonstrating adaptability and a willingness to pivot based on feedback and evolving needs, prioritizing value delivery over upfront perfection.
  • Proof-of-Concept Development: Lead the development of compelling proof-of-concept projects to validate the feasibility and potential of novel AI/ML/GenAI solutions.
  • Platform Contribution: Actively contribute to the design and development of internal AI/ML/GenAI platforms, frameworks, and shared services.
  • Troubleshooting Support: Provide expert technical support, troubleshooting, and resolution for AI/ML/GenAI solutions in production environments.
Required Skills & Technical Expertise:
  • Programming Fluency: Proficiency in at least two programming languages. Strong preference for Python, with significant experience in Javascript/Typescript and Golang being highly valued.
  • Scalable Solutions: Demonstrated deep hands-on experience in engineering and deploying enterprise-grade solutions that are highly scalable, resilient, and performant.
  • Generative AI Expertise:
    • Strong theoretical and practical understanding of Large Language Models (LLMs), transformers, agentic frameworks, vector stores, and advanced search algorithms.
    • Experience with relevant GenAI/ML frameworks such as LangChain, LangGraph, MLFlow, Spring AI, Spring Boot, and Flask.
  • Data & Database Proficiency:
    • Extensive experience with data analysis and manipulation using tools like SQL and Pandas.
    • Proficiency in database technologies including Oracle, Postgres, or MongoDB.
  • API & Integration:
    • Proven experience in designing and implementing robust REST and WebSocket APIs.
    • Experience with messaging and integration platforms like Kafka or JMS/MQ.
  • Frontend Development: UI development skills with technologies such as React JS or Streamlit.
  • Production AI/ML/GenAI: Demonstrated ability to design, develop, and deploy AI/ML/GenAI solutions into production environments.
  • Experience with MLOps principles and tools is a significant advantage.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
  • Financial Services/Technology Background: 10+ years of professional experience, preferably within financial services or leading technology firms.
  • Innovation & Problem Solving: A self-starter with a strong drive for innovation, exhibiting exceptional problem-solving skills, and a knack for leveraging "out-of-the-box" tooling and automation.
  • Communication & Collaboration: Excellent written and verbal communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.

This is an opportunity to make a tangible impact on the future of banking through innovative AI. Join us and help build what's next!



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Job Family Group:


Technology

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Job Family:


Applications Development

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Time Type:


Full time

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Most Relevant Skills


Please see the requirements listed above.

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Other Relevant Skills


For complementary skills, please see above and/or contact the recruiter.

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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.



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