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GenAI Tech Engineer - NEW YORK, Hybrid

Citi is a world-leading global bank with approximately 200 million customer accounts and presence in more than 100 countries, providing broad financial products and services.
$176,720 - $265,080
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
10+ years of experience
AI · Finance

Description For GenAI Tech Engineer - NEW YORK, Hybrid

Citi, a leading global bank with a presence in over 100 countries, is seeking an innovative GenAI Engineering Lead to join their CTO organization. This role sits within the COO Enterprise Solution Engineering capability and focuses on driving the adoption of Large Language Models and agentic flows across enterprise business solutions.

The position offers an exciting opportunity to be at the forefront of implementing cutting-edge AI technologies in a major financial institution. As a GenAI Engineering Lead, you'll be responsible for developing and executing enterprise-wide AI solutions that drive process efficiencies, automation, and risk reduction. The role combines technical leadership with hands-on engineering, requiring expertise in both traditional software engineering and modern AI/ML technologies.

The ideal candidate will bring 10+ years of experience in financial services or technology firms, with deep expertise in AI/ML systems, programming languages like Python and JavaScript, and enterprise-scale solution development. You'll work with various technology teams to implement Generative AI technologies across enterprise applications while ensuring robust risk management and compliance.

This role offers competitive compensation ($176,720 – $265,080) and comprehensive benefits including medical, dental, and vision coverage, 401(k), life insurance, and various wellness programs. The position is based in New York with a hybrid work arrangement, providing flexibility while maintaining in-person collaboration.

You'll be joining at the beginning of Citi's GenAI journey, making this an excellent opportunity for someone who wants to shape the future of AI applications in financial services. The role combines the stability and resources of a major financial institution with the excitement and innovation typically found in tech startups.

The position requires a unique blend of technical expertise, leadership skills, and business acumen, making it ideal for someone who wants to drive technological transformation while working with cutting-edge AI technologies in a global financial environment.

Last updated 14 hours ago

Responsibilities For GenAI Tech Engineer - NEW YORK, Hybrid

  • Contribute to both engineering and research
  • Build robust, scalable, and user-friendly solutions
  • Work in fast-paced environment tackling cutting-edge problems
  • Conduct pair programming for products
  • Deliver fast, iterating and pivoting as needed
  • Develop foundational components in AI and LLMs
  • Drive enterprise-wide adoption

Requirements For GenAI Tech Engineer - NEW YORK, Hybrid

Python
JavaScript
TypeScript
Java
MongoDB
Kubernetes
  • 10+ years of experience in financial services/technology firms/start-ups
  • Deep hands-on experience in engineering and executing enterprise solutions
  • Fluency in Python, JavaScript/TypeScript, Golang
  • Experience with PyTorch, TensorFlow
  • Understanding of language models, transformers, agentic frameworks
  • Knowledge of vector stores and search algorithms
  • Experience in Java 8, SpringBoot, MongoDB, Docker/Kubernetes
  • Experience with high performance, large-scale AI/ML systems
  • Experience in model risk management and GenAI solutions
  • Bachelor's degree in IT, Computer Science, or engineering (Masters preferred)
  • Strong communication skills
  • Experience with Agile delivery and product management

Benefits For GenAI Tech Engineer - NEW YORK, Hybrid

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • 401(k)
  • Life insurance
  • Accident insurance
  • Disability insurance
  • Wellness programs
  • Paid time off
  • Vacation
  • Sick leave
  • Paid holidays

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