Generative AI Software Engineer, Technology Strategy – Assistant Vice President

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

Do you thrive on solving complex problems and building full-stack solutions that make an impact? Ready to influence big tech decisions and help shape the technology strategy of a global bank?"

The Chief Technology Office (CTO) is building out its Technology Strategy practice, which is responsible to develop and maintain Citi’s Technology Strategy in support of firm’s Businesses and Functions. As part of the Technology Strategy Team, the candidate will be joining an existing global team of technology strategy analysts, project/product managers and engineers.

We are seeking a Generative AI Software Engineer with expertise in modern AI technologies and a passion for building exceptional AI‑first product experiences. The role is hands-on development role to join existing engineering team based out US, UK and India.

You will take part in design and development of user‑facing capabilities for our Technology Strategy platform and our next generation of AI agents — including the Tech Strategy Assistant and the AI Metrics Assistant.

What You Bring

• Generative AI & LLM Engineering
  
  Experience range – 8 to 12 Years

  Strong hands-on experience building applications using LLMs.
  Experience with Prompt Engineering, RAG architectures, vector databases, agent frameworks, and evaluation techniques.
  Exposure to frameworks such as LangChain, LangGraph, Google ADK, AutoGen, CrewAI, or similar.
  
  Full Stack Engineering
  
  Strong proficiency in Python and modern backend development.
  Experience with TypeScript/JavaScript and modern front-end frameworks such as React.
  Ability to build end-to-end products from concept through deployment.
  
  Cloud & Platform Engineering
  
  Experience with Docker, Kubernetes, and cloud-native architectures.
  Knowledge of AWS, Azure, or GCP services.
  Familiarity with CI/CD, observability, and production deployment practices.
  
  Data & Persistence
  
  Experience with PostgreSQL and NoSQL databases.
  Understanding of data modeling, APIs, and scalable application design.
  
  Engineering Excellence
  
  Passion for clean architecture, maintainable code, testing, and documentation.
  Ability to thrive in a collaborative, fast-paced environment.

Why Join Us

You will join a high-discipline, AI-first engineering team within Technology Strategy, building and scaling enterprise-grade AI agents and modernising our core strategic platform

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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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