Head of Applied AI Engineering

Citi

Remote Hybrid

Quick summary

Work type
Remote
Location
Jersey City, NJ
Salary
$170,000–$300,000 / yr
Posted
48 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $209k
This role $235k
$154k most similar roles pay here $316k

This role pays more than 59% of similar roles. Most pay $172,500–$246,150 — the shaded band above. At the midpoint, this role pays about $235k versus about $209k 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 380 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 354 roles with salary data.

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View all roles at Citi

At a glance

TL;DR · Head of Applied AI Engineering

The Head of Applied AI Engineering role at the Banking division requires a seasoned professional to lead the development and deployment of advanced AI solutions across Investment, Corporate, and Commercial Banking. This hands-on leader will work closely with senior bankers to identify high-impact AI opportunities in deal origination, client intelligence, market analysis, and pitch automation, while developing an AI engineering roadmap aligned with enterprise architecture. Key responsibilities include designing scalable AI systems using LLMs, NLP, and knowledge graphs, integrating diverse data sources for sophisticated model training, and ensuring compliance with regulatory standards. The ideal candidate has over 15 years of experience in data science and AI engineering, including leadership roles in financial services, with expertise in machine learning, natural language processing, and MLOps practices. They should also be adept at building Agentic AI solutions and familiar with front-office workflows and industry-standard financial tools.

What you'll do

  • Lead the design and development of scalable AI systems for investment banking.
  • Drive strategic integration of structured and unstructured data for advanced insights.
  • Convert proofs-of-concept into enterprise-grade AI tools embedded in banker workflows.
  • Establish rigorous standards to ensure AI systems meet explainability and compliance requirements.
  • Recruit, mentor, and lead a high-performing team of AI engineers and specialists.

What we're looking for

  • Over 15 years of industry experience in data science and AI engineering, with at least 4 years in leadership roles.
  • Proven success in building and deploying impactful AI applications in investment banking or similar domains.
  • Deep expertise in machine learning, NLP, LLMs, RAG, and modern MLOps practices.
  • Experience in secure, compliant deployment of Agentic AI solutions in regulated environments.
  • Strong understanding of front-office workflows and financial data tools like Bloomberg and Refinitiv.
  • Exceptional communication skills with a track record of influencing senior bankers and C-level executives.

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