VP Agentic AI Engineer - Lead Multi-Agent Platform

Citi; New York (NY); Hybrid; USD 126,000 - 189,000; Full time

Benefits offered by this job

Hybrid work model

Lead AI at scale

Learning & development

Competitive compensation

Wellbeing programs

Global collaboration

Job summary

Citi is seeking a Lead Agentic AI Engineer at the Vice President level to architect and deliver production-grade agentic AI systems at enterprise scale, blending LLMs, retrieval-augmented generation, and full-stack integration.

You will lead multi-tenant platforms, fine-tuning applications, and ensure the platform follows Trust, Adoption, Cost, Operations, and Scalability principles while mentoring engineers.

Qualifications

• 10+ years of professional software engineering experience.
• 5+ years of AI/ML, with at least 2+ years in Generative AI (LLMs, RAG, Agentic workflows).
• 3+ years of leadership experience managing technical teams and delivering complex software or AI solutions.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Responsibilities

• Core Platform & Application Development: Lead the development of custom AI platform components using Python/Java and React.
• Advanced Data Retrieval & Logic Engineering: implement RAG architectures, Knowledge Graph RAG, and vector/graph integrations.
• Use Case Development & Forward Deployment: collaborate with SMEs to translate enterprise workflows into automated, agent-driven code.

Skills

Leadership

Portfolio

Communication

Mentoring

Education

Bachelor’s or Master’s degree in Computer Science/Engineering

Tools

Python

Java (Spring Boot)

React

ADK/LangChain/LangGraph

Oracle

Neo4j

pgvector/Pinecone/Milvus

AWS

FastAPI

Job description

Citi is seeking a Lead Agentic AI Engineer at the Vice President level to architect and deliver production-grade agentic AI systems at enterprise scale, blending LLMs, retrieval-augmented generation, and full-stack integration.

You will lead multi-tenant platforms, fine-tuning applications, and ensure the platform follows Trust, Adoption, Cost, Operations, and Scalability principles while mentoring engineers.