This role pays less than
82%
of similar roles. Most pay
$166,974–$246,150
— the shaded band above.
At the midpoint, this role pays about
$157k
versus about
$207k
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
281 open roles
on FindRole.
Listed pay typically runs
$125,760–$188,640
across 263 roles with salary data.
As a Lead Agentic AI Engineer, you will join the team to drive the design, development, and integration of state-of-the-art generative and agentic AI solutions across the enterprise Controls Technology platform. You will architect robust applications on top of pre-trained foundation models, focusing on context engineering, retrieval systems, knowledge graphs, and multi-agent orchestration to improve automation and operational efficiency. Your daily work involves building RAG systems with hybrid search, implementing Graph RAG for multi-hop reasoning, and developing agentic workflows using tools like Google ADK, LangGraph, CrewAI, and the Model Context Protocol. You will utilize Python, vector databases, and frameworks like LangChain or LlamaIndex to build production-ready systems. The role requires expertise in prompt engineering, containerization via Docker and Kubernetes, and ensuring safety through guardrails and agent isolation within high-value business domains.