Senior GenAI Engineering - Director

Citi

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$170,000–$300,000 / yr
Posted
50 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $212k
This role $235k
$150k most similar roles pay here $316k

This role pays more than 62% of similar roles. Most pay $170,000–$254,612 — the shaded band above. At the midpoint, this role pays about $235k versus about $212k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 371 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 347 roles with salary data.

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View all roles at Citi

At a glance

TL;DR · Senior GenAI Engineering - Director

The Director of GenAI Engineering and Transformation Senior Manager role at Citi involves leading the adoption of Large Language Models (LLMs) and agentic flows to enhance process efficiencies and automation in Finance/Controllers. This senior-level position requires close collaboration with technology teams to align with Citi’s AI strategies, focusing on rapid delivery and iterative development of robust solutions. The ideal candidate will have hands-on experience with LLMs, vector stores, search algorithms, and AI orchestration platforms like LangGraph or Crew AI, along with fluency in Python and Java, and proficiency in frameworks such as Spring Boot, Flask, and LangChain. Additionally, expertise in database technologies, REST and WebSocket APIs, cloud platforms, and infrastructure tools including Docker, Kubernetes, and Terraform is essential. The role demands strong knowledge of model risk management and experience in team building and mentoring within an Agile environment.

What you'll do

  • Drive the adoption and integration of Large Language Models (LLMs) in Finance/Controllers processes.
  • Develop robust, scalable solutions using agentic frameworks and vector stores for process efficiencies.
  • Design and implement REST and WebSocket APIs for seamless AI solution integration.
  • Manage risk and develop guardrails for end-user adoption pathways of AI technologies.
  • Collaborate on engineering initiatives to ensure alignment with Citi's AI strategies.

What we're looking for

  • Strong hands-on experience with Large Language Models (LLMs) and agentic frameworks.
  • Expertise in building AI Agent workflows using platforms like LangGraph or Crew AI.
  • Proficiency in Python, Java, JavaScript/TypeScript, and Golang for developing scalable solutions.
  • Experience designing REST APIs and WebSocket APIs, along with knowledge of relevant frameworks.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and infrastructure tools (Docker, Kubernetes).
  • Strong background in database technologies including Oracle, Postgres, or MongoDB.

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