AI Lead Engineer, Vice President

Citi

Confirmed live yesterday High trust

Closes in 5 days Hybrid

Quick summary

Work type: Hybrid
Location: Jersey City, NJ
Salary: $142,320–$213,480 / yr
Employment: Full-time
Posted: 2 days ago
Freshness: Confirmed live yesterday
Closes: Nov 9, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $196k

This role $178k

$131k $245k

below market most similar roles pay here above market

This role pays less than 57% of similar roles. Most pay $159,457–$232,000 — the blue band above. At the midpoint, this role pays about $178k versus about $196k 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 269 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 249 roles with salary data.

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View all roles at Citi

At a glance

TL;DR · AI Lead Engineer, Vice President

Role Posting Log in to save

The AI Lead Engineer, Vice President joins the AI Centre of Excellence team to design, develop, and deploy AI-powered applications and agentic solutions. This role involves building scalable enterprise solutions, including intelligent agents with perception and reasoning modules, and developing data pipelines to support machine learning workloads. You will integrate Large Language Models, Retrieval-Augmented Generation, and intelligent automation into production-grade applications and APIs. Key technologies include Python, SQL, and Java, alongside frameworks like LangChain, LangGraph, CrewAI, and AutoGen. You will also utilize platforms such as OpenAI, Azure, Anthropic, Gemini, and Bedrock. The work focuses on solving complex business processes and client delivery challenges within a regulated financial services environment, requiring expertise in prompt engineering, vector databases, and containerization technologies like Docker and Kubernetes.

Skills

Python SQL Java LLMs Generative AI RAG LangChain LangGraph CrewAI AutoGen AWS Azure GCP Docker Kubernetes Prompt Engineering Data Pipelines Microservices APIs

What you'll do

Design and implement intelligent agents including perception, reasoning, planning, and action execution modules.
Develop data pipelines to support AI and machine learning workloads while ensuring data quality and security.
Integrate LLMs, reinforcement learning, and predictive models to enhance agent capabilities and decision-making.
Build production-grade applications, APIs, and microservices using Python and/or Java.
Research and propose innovative solutions for autonomous AI and agent-based systems.
Create comprehensive technical documentation for agent designs, implementations, and operational procedures.
Manage a portfolio of AI use cases and oversee a team of AI engineers within the COE.

What we're looking for

Bachelor’s degree in Artificial Intelligence, Robotics, or a related quantitative field.
Master's degree is a plus (preferred).
6+ years of professional experience in software development.
2+ years of experience working with AI/ML, Generative AI, or intelligent automation solutions.
Strong proficiency in Python and SQL; Java is a plus (preferred).
Experience with Generative AI, LLMs, Prompt Engineering, RAG, embeddings, vector DBs, and agentic frameworks.
Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes.
Financial services experience is preferred (preferred).

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