AI Lead Engineer, Client Technology - SVP - NYC

Citi

Remote Hybrid Actively hiring
Remote, USA · New York, NY Posted 26 days ago $176,720–$265,080 / year
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At a glance

AI generated

TL;DR

The AI Lead role within the Applications Development team requires a senior professional with extensive experience in software engineering and AI development to design and deploy advanced intelligent agents and generative AI solutions. This individual will focus on rapid prototyping, iterative improvement, and delivering measurable business value by translating research ideas into robust production systems. Key responsibilities include developing scalable architectures for agentic systems, integrating machine learning models such as LLMs, automating complex tasks, optimizing workflows, and collaborating with cross-functional teams to integrate AI solutions into broader products. The ideal candidate should have strong proficiency in Python (FastAPI, Django, Flask), Java (Spring Boot), JavaScript (React, Next.js), and SQL, along with experience in machine learning frameworks like TensorFlow and PyTorch. Familiarity with Docker, Kubernetes, and microservices architecture is essential, as well as a deep understanding of AI principles and the ability to stay current with advancements in agentic systems and autonomous AI technologies.

Skills

Python Java JavaScript TensorFlow PyTorch Scikit-Learn Docker Kubernetes FastAPI Django Flask React Next.js Node.js TypeScript LangChain AutoGen CrewAI RAG Git CI/CD Agile Microservices Event-Driven Architecture

What you'll do

  • Design and implement intelligent agents with perception, reasoning, planning, and action execution modules.
  • Develop scalable architectures for agentic systems and generative AI applications to ensure high performance and reliability.
  • Integrate machine learning models including LLMs to enhance agent capabilities and decision-making processes.
  • Automate complex tasks and optimize workflows using developed agents across various domains.
  • Rapidly deliver MVPs through iterative improvement, focusing on quick iterations and hypothesis testing.
  • Continuously evaluate and optimize agent behavior based on designed metrics and evaluation strategies.

What we're looking for

  • 10+ years of software engineering experience with a focus on AI and rapid delivery.
  • Strong proficiency in Python (FastAPI, Django, Flask) or Java (Spring Boot), JavaScript (React, Next.js).
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, and large language models integration.
  • Experience in designing scalable architectures for agentic systems and generative AI applications.
  • Proficiency in software development best practices including CI/CD pipelines, testing, and code reviews.
  • Familiarity with Docker, Kubernetes, and API-first design emphasizing microservices architecture.
  • Deep understanding of core AI concepts such as automated planning, decision-making under uncertainty.

Market check

Salary context

This $176,720–$265,080 range sits above 57% of similar postings on FindRole.

Peer median band

$173,500–$257,000

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$168,787–$246,150

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 336 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 308 roles with salary data.

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