GenAI Engineering Lead - Enterprise AI & Governance

Citigroup Inc.; New York (NY); On-site; USD 157,000 - 236,000; Full time

Job summary

Citigroup Inc. is seeking a hands-on GenAI expert to lead Partner AI Development, GenAI governance, and enterprise AI initiatives in New York.

You will architect, build, and validate GenAI solutions across operations, marketing, and risk, partnering with engineers, data scientists, and business stakeholders. You will own the AI solution lifecycle, implement foundational GenAI capabilities, and drive measurable improvements in efficiency, compliance, and customer outcomes.

Qualifications

• 6+ years in AI/ML or data science within financial services or a regulated industry.
• Hands-on experience deploying Generative AI/LLM solutions in production environments.
• Experience supporting model risk management, regulatory remediation, and governance processes.
• Familiarity with regulatory requirements (Model Risk Management, Fair Lending, OCC/CFPB) in AI deployments.

Responsibilities

• Design and build GenAI-powered automation across banking operations (front, mid, back office).
• Develop enterprise GenAI foundations, including LLM fine-tuning pipelines and semantic layers.
• Own AI solution lifecycle from prototyping to production for high-priority use cases.
• Prototype and evolve AI-enabled analytics, including RAG pipelines.
• Provide hands-on support across a GenAI model portfolio and governance artifacts.
• Build firm-wide GenAI infrastructure with guardrails and monitoring.

Skills

GenAI & ML

LLMs

RAG

Agentic AI

Prompt engineering

NLP

Python

SQL

MLOps

Cloud platforms

DevOps

Governance

Documentation

Model Risk

Education

Bachelor's degree

Master's degree preferred

Ph.D. a plus

Tools

Bitbucket

GitHub

JIRA

CI/CD

Job description

Citigroup Inc. is seeking a hands-on GenAI expert to lead Partner AI Development, GenAI governance, and enterprise AI initiatives in New York.

You will architect, build, and validate GenAI solutions across operations, marketing, and risk, partnering with engineers, data scientists, and business stakeholders. You will own the AI solution lifecycle, implement foundational GenAI capabilities, and drive measurable improvements in efficiency, compliance, and customer outcomes.