Agentic AI Engineer - Vice President

Citi

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$125,600–$188,400 / yr
Posted
7 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

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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 designing end-to-end solutions using frameworks like Google Agent Development Kit (ADK), ensuring reliability and ethical behavior of autonomous AI systems through sophisticated prompt engineering and rigorous testing strategies. The role also includes driving architectural best practices, mentoring engineers, and fostering innovation in agentic AI technologies. Key skills include proficiency in Python and other programming languages, expertise in machine learning frameworks such as TensorFlow and PyTorch, and experience with cloud computing platforms like Google Cloud. This role addresses critical business challenges by integrating advanced AI methodologies to scale efficiently within the Digital organization.

Skills

Python Google Agent Development Kit (ADK) TensorFlow PyTorch Keras Scikit-learn AWS Azure Google Cloud MLOps Git GitHub VS Code PyCharm Jupyter CI/CD Prometheus Grafana

What you'll do

  • Lead the end-to-end design and deployment of large-scale agentic AI solutions.
  • Drive architectural guidance for next-generation AI initiatives using best practices.
  • Manage technical and business risks in complex AI/ML development projects.
  • Mentor engineers on advanced AI technologies like Google Agent Development Kit (ADK).
  • Advocate for continuous improvement and innovation in agentic AI processes.

What we're looking for

  • 6-10 years of experience in AI/ML development or senior-level AI role.
  • Deep expertise in agentic flow design and prompt engineering using Google Agent Development Kit (ADK).
  • Strong proficiency in Python, with knowledge of R, Java, or C++.
  • Expertise in machine learning algorithms, neural network architectures, and AI frameworks like TensorFlow, PyTorch.
  • Experience in cloud computing platforms (AWS, Azure, Google Cloud) for deploying models using MLOps practices.
  • Demonstrated ability to design comprehensive testing strategies for autonomous AI systems.

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