Lead Agentic AI Engineer – Vice President
AI summary of the role
Lead the architecture, development, and deployment of production-grade, multi-tenant agentic AI platforms combining LLMs, advanced RAG, full-stack applications, and enterprise integrations.
What you’ll do
- Architect and deliver production-grade multi-agent AI platforms and custom fine-tuning applications
- Build full-stack AI applications with Python, Java/Spring Boot, React, and microservices
- Implement agent orchestration, MCP servers, advanced RAG, and vector/graph database integrations
- Translate complex enterprise workflows into agent-driven code with business SMEs
What you’ll bring
- 10+ years of professional software engineering experience
- 5+ years of AI/ML experience, including 2+ years in Generative AI
- 3+ years 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
Technologies
Python · Java Spring Boot · React · Google Agent Development Kit · LangChain · LangGraph · Model Context Protocol · Neo4j · pgvector · AWS
About Citigroup
Global bank serving institutions, governments, investors and consumers across payments, markets, banking, wealth and U.S. cards.
Public · 5000+ people
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