Senior AI Data Engineer- Vice President

Citi

Quick summary

Work type
On-site
Location
New York, NY
Posted
167 days ago
Nearby
99+ roles within 25 mi

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How this pay compares to similar roles

Similar $202k
$147k most similar roles pay here $257k

This listing doesn't post a salary. Most similar roles pay $157,200–$246,150.

Based on 240 similar postings.

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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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At a glance

TL;DR · Senior AI Data Engineer- Vice President

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The Senior AI Data Engineer role within the Applications Development Technology team requires a seasoned professional to design and develop intelligent agents that can autonomously understand goals, plan actions, and execute tasks. This position involves creating scalable architectures for agentic systems, integrating machine learning models like LLMs and reinforcement learning frameworks, and automating complex workflows across various domains. Key responsibilities include collaborating with cross-functional teams to integrate AI solutions into broader products, utilizing and contributing to existing agentic AI frameworks, and continuously evaluating and optimizing agent performance through robust metrics. The ideal candidate has over six years of experience in software development focused on AI and machine learning, proficiency in Python and SQL, familiarity with TensorFlow or PyTorch, and a strong background in cloud platforms and containerization technologies. Experience in the finance industry is beneficial.

Skills

Python TensorFlow PyTorch Scikit-Learn NumPy Pandas AWS Azure GCP Docker Kubernetes Git CI/CD Java SQL LangChain AutoGen CrewAI RAG

What you'll do

  • Design and implement intelligent agents with perception, reasoning, planning, and action execution modules.
  • Develop scalable architectures for agentic systems to ensure high performance, reliability, and security.
  • Integrate machine learning models into agent-based systems to enhance decision-making capabilities.
  • Automate complex tasks using AI agents to optimize workflows across various domains.
  • Continuously evaluate and optimize agent behavior based on defined metrics and strategies.

What we're looking for

  • Over 6 years of professional experience in AI, machine learning, or agent-based systems.
  • Strong proficiency in Python and SQL; Java is a plus.
  • Expertise in core AI concepts, including knowledge representation and multi-agent systems.
  • Experience with machine learning frameworks (TensorFlow, PyTorch) and relevant libraries.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies.
  • Solid understanding of software engineering best practices and development methodologies.

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