This role pays less than
88%
of similar roles. Most pay
$157,425–$221,100
— the shaded band above.
At the midpoint, this role pays about
$142k
versus about
$189k
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
271 open roles
on FindRole.
Listed pay typically runs
$125,760–$188,640
across 255 roles with salary data.
Senior Agentic AI Engineer (VP) joins the Enterprise Operations & Technology team to architect, govern, and deploy production-ready agentic AI systems within a regulated financial environment. This role focuses on building sophisticated multi-agent workflows, advanced context engineering strategies, and robust RAG pipelines to enhance automation and operational efficiency for the Controls Technology platform. You will develop knowledge graphs, manage memory systems, and implement orchestration patterns using tools like Google Agent Development Kit, LangGraph, CrewAI, and LlamaIndex. Key technical requirements include proficiency in Python, experience with vector databases, Docker, Kubernetes, and CI/CD pipelines. The role requires expertise in the Model Context Protocol (MCP) and Agent2Agent (A2A) protocols to ensure reliable, traceable, and safe AI interactions. You will also mentor junior engineers while ensuring all systems adhere to strict ethical guidelines and data privacy standards.
Python
Generative AI
LLMs
RAG
LangChain
LlamaIndex
LangGraph
CrewAI
Google ADK
Model Context Protocol
Vector Databases
Knowledge Graphs
Docker
Git
Prompt Engineering
API Development
Data Preprocessing