VP, Agentic AI Architect & Multi-Agent Systems

Citi; New York (NY); Hybrid; USD 62,000 - 125,000; Full time

Job summary

Citi seeks a Senior Agentic AI Engineer to drive design, development, and integration of state-of-the-art Generative AI and agentic AI solutions across our enterprise Controls Technology platform.

You will collaborate with cross-functional teams on context engineering, RAG, knowledge graphs, Graph RAG, and multi-agent orchestration using ADK, MCP, and A2A protocols. Mentor peers and ensure safe, compliant production deployment.

Qualifications

• Deep expertise in generative AI concepts and foundation models.
• Experience with retrieval and graph-based AI pipelines.
• Proven track record building agentic AI systems and multi-agent orchestration.

Responsibilities

• Collaborate to design generative and agentic AI solutions.
• Architect context engineering strategies for reliability and efficiency.
• Design and implement RAG systems and graph-based retrieval pipelines.
• Build multi-agent systems with orchestration patterns and governance.
• Ensure production readiness with observability and compliance.

Skills

Foundation models

LLMs

RAG systems

Knowledge graphs

Agent frameworks

Multi-agent orchestration

MCP protocol

A2A protocol

Python

Docker

Kubernetes

OpenTelemetry

LangChain

LlamaIndex

NLP

Education

Bachelor's or Master's in CS/AI

Tools

Google ADK

LangGraph

CrewAI

Neo4j

ArangoDB

OpenAI Agents SDK

LangChain

LlamaIndex

Job description

Citi seeks a Senior Agentic AI Engineer to drive design, development, and integration of state-of-the-art Generative AI and agentic AI solutions across our enterprise Controls Technology platform.

You will collaborate with cross-functional teams on context engineering, RAG, knowledge graphs, Graph RAG, and multi-agent orchestration using ADK, MCP, and A2A protocols. Mentor peers and ensure safe, compliant production deployment.