Lead AI Engineer for Banking Technology

Citi

Remote Hybrid

Quick summary

Work type: Remote
Location: Jersey City, NJ
Salary: $176,720–$265,080 / yr
Posted: 53 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $209k

This role $221k

$161k most similar roles pay here $276k

This role pays more than 59% of similar roles. Most pay $172,250–$246,150 — the shaded band above. At the midpoint, this role pays about $221k versus about $209k for comparable roles.

Based on 239 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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View all roles at Citi

At a glance

TL;DR · Lead AI Engineer for Banking Technology

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As a Lead AI Engineer at the SVP level in Banking Technology, you will lead the design and implementation of enterprise-scale AI solutions for Investment, Corporate, and Commercial Banking. This role involves hands-on technical leadership and architectural ownership, focusing on LLMs, agentic workflows, and generative AI platforms to enhance efficiency and risk management. You will build full-stack AI applications using modern ML/LLM platforms like Devin and GitHub Copilot, while also mentoring engineers across various teams to foster an AI-first culture. Key responsibilities include rapid value delivery through MVP-driven development, rigorous evaluation of AI performance, and proactive integration of emerging technologies. The ideal candidate has expert-level proficiency in Python or Java (Spring Boot), extensive experience with ML frameworks like TensorFlow and PyTorch, and a deep understanding of the banking domain to ensure alignment with business goals.

Skills

Python Java Spring Boot JavaScript TypeScript Angular Node.js TensorFlow PyTorch OpenAI Anthropic Google LLMs RAG pipelines MCPs Devin GitHub Copilot Docker Kubernetes CI/CD API-first Microservices Event-driven systems

What you'll do

Lead the design and hands-on implementation of scalable agentic AI solutions for high-impact business use cases.
Architect advanced agent-based systems integrating multiple LLM providers to enhance efficiency and automation.
Build full-stack AI applications using modern ML/LLM platforms, ensuring production-grade delivery.
Champion MVP-driven delivery with rapid iteration and experimentation to achieve fast time-to-value.
Define evaluation frameworks for AI performance, ensuring continuous optimization aligned with business goals.

What we're looking for

Expert proficiency in Python and/or Java (Spring Boot), JavaScript/TypeScript.
Deep knowledge of AI fundamentals, LLM platforms, RAG pipelines, agent frameworks.
Proven ability to design robust APIs for AI services and scalable ML systems.
Strong experience with Docker, Kubernetes, CI/CD, testing strategies, security.
Extensive hands-on experience in architecting microservices-based, event-driven systems.
Exceptional leadership skills in technical discussions and influencing senior stakeholders.
Strong understanding of banking domain to connect AI capabilities to business outcomes.

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