Citi
Citi
Citi is a global banking and financial services company serving consumers, corporations, governments, and institutions. Its offerings span consumer banking, credit cards, wealth management, corporate banking, and investment banking, supported by operations in more than 100 countries. As a large international finance organization, Citi brings together teams working across banking, financial services, and fintech.

Senior AI Engineer, Wholesale Credit Risk Analytics – Citi Hybrid

Build Citi’s agentic generative AI platform for wholesale credit risk analytics. Lead software engineers while advancing governed credit risk model development.

Description

  • Partner with quantitative model developers, Model Risk Management, and business leaders to define technical direction and the product roadmap
  • Select and prioritize use cases for the agentic workflow platform
  • Act as the main technical contact between engineering and platform users
  • Architect a scalable, resilient, and secure agentic AI platform
  • Develop core components, proofs of concept, and solutions for complex technical problems
  • Create secure connections to internal data, external APIs, and multiple large language models
  • Set up CI/CD, testing, logging, and monitoring for an enterprise application
  • Lead, coach, and motivate software engineers
  • Direct architecture, uphold code-quality standards, and oversee agile delivery
  • Track project schedules, allocate resources, and deliver platform milestones

Requirements

  • At least 10 years of hands-on experience designing, developing, and delivering complex, scalable software systems to production
  • Practical experience developing agentic AI solutions for ad hoc data analysis, documentation, and workflow orchestration
  • A record of leading software teams through technical mentoring, architectural direction, and project oversight
  • Advanced Python skills, including backend development and data-processing libraries
  • Experience with contemporary AI frameworks such as LangChain
  • Hands-on experience developing applications powered by large language models
  • Strong knowledge of prompt engineering, retrieval-augmented generation, and agentic design patterns
  • Understanding of system design, microservices, REST APIs, and event-driven architectures
  • Ability to explain complex technical ideas to technical and non-technical audiences and convert business needs into technical requirements

Benefits

  • Discretionary and formula-based incentive and retention awards
  • Medical, dental, and vision insurance
  • 401(k) plan
  • Life, accident, and disability insurance
  • Wellness programs
  • Paid vacation and planned time off
  • Paid sick leave and unplanned time off
  • Paid holidays

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