Agentic AI Engineer - Vice President

Citi

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$125,600–$188,400 / yr
Posted
26 days ago
Closes
Jun 30, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $209k
This role $157k
$111k most similar roles pay here $261k

This role pays less than 85% of similar roles. Most pay $172,000–$246,150 — the shaded band above. At the midpoint, this role pays about $157k versus about $209k 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 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 · Agentic AI Engineer - Vice President

The Agentic AI Engineer is a senior-level role within the Digital Software Engineering team at Technology, focusing on leading agentic flow design, prompt engineering, and comprehensive testing for advanced AI systems. This position involves end-to-end development of large-scale autonomous AI solutions using frameworks like Google Agent Development Kit (ADK), ensuring reliability and ethical behavior through rigorous testing strategies. The engineer will also drive architectural best practices, manage complex AI/ML projects, mentor junior engineers, and advocate for innovative technologies to enhance the firm's capabilities in agentic systems. Required skills include proficiency in Python and other programming languages, expertise in machine learning frameworks like TensorFlow and PyTorch, data engineering, cloud computing, and strong mathematical foundations.

What you'll do

  • Lead the end-to-end design and deployment of large-scale agentic AI solutions.
  • Drive architectural best practices for next-generation agentic AI systems.
  • Manage technical and business risks in complex AI/ML development projects.
  • Mentor engineers on advanced agentic AI technologies and best practices.
  • Advocate for continuous improvement and innovation in agentic AI processes.

What we're looking for

  • Demonstrable experience leading agentic flow design and prompt engineering for autonomous AI systems.
  • Deep expertise in Google Agent Development Kit (ADK) and comprehensive testing of AI systems.
  • Strong proficiency in Python with additional skills in R, Java, or C++.
  • Expertise in machine learning algorithms, neural network architectures, and AI frameworks like TensorFlow and PyTorch.
  • Experience in cloud computing platforms such as AWS, Azure, and Google Cloud for deploying models using MLOps practices.
  • Knowledge of data engineering techniques including cleaning, preprocessing, visualization, and working with databases.

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