Director GenAI Engineering and Transformation Senior Manager

Citi

Remote Hybrid

Quick summary

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

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $222k
This role $235k
$154k most similar roles pay here $316k

This role pays more than 56% of similar roles. Most pay $186,343–$258,150 — the shaded band above. At the midpoint, this role pays about $235k versus about $222k 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 391 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 361 roles with salary data.

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At a glance

TL;DR · Director GenAI Engineering and Transformation Senior Manager

The Director of GenAI Engineering and Transformation Senior Manager role involves driving the adoption of Large Language Models (LLMs) and agentic flows to enhance process efficiencies, automation, and risk reduction across enterprise solutions. This position requires significant contributions to engineering and research initiatives within Generative AI, adopting a product-focused approach to develop scalable and user-friendly solutions. The candidate will collaborate closely with technology teams to integrate generative AI technologies and build partnerships with third-party providers for validating best-of-breed solutions. Key skills include fluency in Python and Java, proficiency in frameworks like Spring Boot, LangChain, and MLFlow, experience with cloud platforms such as AWS or GCP, and expertise in UI development using React JS and StreamLit. The role demands strong hands-on experience with Agile methodologies and a deep understanding of AI/ML systems, making it ideal for those passionate about advancing enterprise-wide AI adoption.

What you'll do

  • Develop foundational components and mature technology capabilities in AI and Large Language Models (LLMs).
  • Drive enterprise-wide adoption and successful integration of Generative AI solutions.
  • Contribute to engineering and research initiatives within the Generative AI domain.
  • Adopt a product-focused approach, ensuring robust, scalable, and user-friendly solutions.
  • Engage in pair programming and promote lean methodologies for process efficiency.

What we're looking for

  • Deep hands-on experience in engineering and scaling enterprise solutions.
  • Fluency in Python and Java; proficiency in JavaScript/TypeScript and Golang.
  • Strong understanding of LLMs, transformers, agentic frameworks, vector stores, and search algorithms.
  • Experience with Spring AI/Boot/Core, N8N, Flask, LangChain, LangGraph, ADK, MLFlow.
  • Proficiency in UI development with React JS, Gradio, StreamLit; designing REST and WebSocket APIs.

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