Applied AI Engineering Director

Citi

Confirmed live yesterday High trust
Remote Hybrid

Quick summary

Work type
Remote
Location
Jersey City, NJ
Salary
$170,000–$300,000 / yr
Posted
39 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $211k
This role $235k
$150k most similar roles pay here $316k

This role pays more than 59% of similar roles. Most pay $165,687–$257,075 — the shaded band above. At the midpoint, this role pays about $235k versus about $211k 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 256 open roles on FindRole.

Listed pay typically runs $140,080–$210,120 across 238 roles with salary data.

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View all roles at Citi

At a glance

TL;DR · Applied AI Engineering Director

The Applied AI Engineering Director for Banking Technology leads the design, development, and deployment of AI-first solutions for the Investment, Corporate, and Commercial Banking divisions. This role involves building scalable systems including Large Language Models, Natural Language Processing, knowledge graphs, and machine learning pipelines to automate dealmaking processes like pitch preparation and market analysis. The candidate will manage the integration of structured financial data and unstructured sources such as regulatory filings and call transcripts into Agentic AI solutions. Key technical requirements include expertise in RAG, MLOps, and frameworks like Langgraph or Google ADK. The position requires navigating complex banking workflows including ECM, DCM, and M&A while ensuring all systems meet strict governance and compliance standards for explainability and fairness within a highly regulated financial services environment.

What you'll do

  • Identify high-impact AI opportunities across deal origination, client intelligence, market analysis, and pitch automation.
  • Develop and execute a comprehensive AI engineering roadmap aligned with banking technology strategy.
  • Design and develop scalable systems including LLMs, NLP, knowledge graphs, and machine learning pipelines.
  • Architect and implement secure Agentic AI solutions integrated with market data and internal repositories.
  • Integrate structured financial data and unstructured content to enable advanced insights and model training.
  • Convert proof-of-concept projects into enterprise-grade tools and automated assistants for banker workflows.
  • Establish and enforce rigorous standards for AI explainability, fairness, and regulatory compliance.
  • Recruit, mentor, and lead a high-performing team of AI engineers and data scientists.

What we're looking for

  • 15+ years of industry experience in data science and AI engineering.
  • Minimum of 4 years in a leadership role, preferably within financial services or regulated environments.
  • Expertise in machine learning, NLP, LLMs, RAG, and modern MLOps practices.
  • Experience building Agentic AI solutions using frameworks like Google ADK or Langgraph.
  • Proficiency working with both structured financial datasets and diverse unstructured data sources.
  • Familiarity with front-office workflows across ECM, DCM, M&A, and investment research.
  • Experience deploying AI solutions in secure, high-compliance environments such as on-premise or private clouds.
  • Bachelor's degree required; Master's degree or advanced degree in a quantitative field is preferred.

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