Lead Applied AI Engineer, Banking Technology

Citi

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Jersey City, NJ
Salary
$176,720–$265,080 / yr
Posted
16 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $205k
This role $221k
$151k most similar roles pay here $277k

This role pays more than 65% of similar roles. Most pay $163,057–$246,150 — the shaded band above. At the midpoint, this role pays about $221k versus about $205k 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 · Lead Applied AI Engineer, Banking Technology

Lead Applied AI Engineer for Banking Technology The Lead Applied AI Engineer, Banking Technology – C14 (SVP Level) joins the technology team to architect and deliver enterprise-scale AI solutions for Investment, Corporate, and Commercial Banking. This role involves designing and implementing agentic workflows, generative AI platforms, and RAG pipelines to improve efficiency and risk reduction in regulated financial environments. The engineer will build production-grade full-stack applications, establish evaluation frameworks, and mentor teams to foster an AI-first engineering culture. Key technical requirements include expert proficiency in Python or Java (Spring Boot), JavaScript/TypeScript (Angular, Node.js), and experience with ML frameworks like TensorFlow and PyTorch. Candidates must demonstrate expertise in Docker, Kubernetes, and various LLM providers including OpenAI, Anthropic, and Google. The role focuses on solving complex banking problems through automated planning, multi-agent systems, and robust, scalable API-first microservices.

What you'll do

  • Design, implement, and deploy scalable agentic AI and generative AI solutions for banking business cases.
  • Architect advanced agent-based systems integrating multiple LLM providers like OpenAI, Anthropic, and Google.
  • Build production-grade full-stack AI applications using modern ML platforms and AI coding tools.
  • Establish rigorous evaluation frameworks and metrics to optimize AI performance and alignment with goals.
  • Proactively evaluate and integrate emerging technologies in agent-based and autonomous AI systems.
  • Provide technical leadership and mentorship to engineers to foster an AI-first engineering culture.
  • Develop robust, scalable APIs for AI services within a microservices-based architecture.
  • Align AI capabilities with banking domain requirements to ensure measurable business impact and risk reduction.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, AI, Robotics, or a related quantitative discipline.
  • 10+ years of progressive software engineering experience with sustained hands-on contributions.
  • Advanced level of expertise in Python and 3+ years of dedicated experience in AI, LLM-based systems, and agentic architectures.
  • Expert proficiency in Java (Spring Boot) and solid experience with JavaScript/TypeScript (Angular, Node.js).
  • Proven success architecting and delivering multiple enterprise-scale AI solutions into production.
  • Deep knowledge of AI fundamentals, ML frameworks (TensorFlow, PyTorch), RAG pipelines, and agent frameworks.
  • Strong experience in software engineering best practices, including system design, CI/CD, microservices, and Docker/Kubernetes.
  • Advanced data science expertise and experience mentoring talent in evolving toolchains (preferred).

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