Lead Agentic AI Engineer – Vice President

Citi • Tampa, FL

33d • $125,760 - $188,640 • Hybrid

About The Position

Citi is seeking a Lead Agentic AI Engineer at the Vice President level to architect and deliver production-grade agentic AI systems that sit at the intersection of large language models, retrieval-augmented generation, and modern full-stack engineering. This role operates within Citi's technology organization and carries direct ownership over the design, development, and deployment of intelligent, multi-agent platforms that drive measurable outcomes across the business.
You will build and scale multi-tenant agentic ecosystems, develop custom fine-tuning applications, and ensure the platform adheres to our core principles: Trust, Adoption, Cost, Operations, and Scalability. You will lead by example, setting the standard for code quality and architectural purity while driving high-impact business use cases.
This role requires deep expertise in Python, LLMs, and Agentic workflows, combined with strong full-stack capabilities (Java, React, and microservices) to seamlessly integrate AI capabilities into enterprise-grade platforms.

Requirements

• 10+ years of professional software engineering experience.
• 5+ years of experience in AI/ML, with at least 2+ years specifically 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.
• Deep hands-on expertise in Python, LLM orchestration, prompt engineering, and agentic frameworks (ADK, LangChain, LangGraph, etc.).
• Strong proficiency in backend development using Java (Spring Boot) or Python (FastAPI), and frontend development using React.
• Experience integrating applications with relational database like Oracle and Graph databases (Neo4j) and Vector databases (pgvector, Pinecone, or Milvus).
• Extensive hands-on experience with AWS services and infrastructure related to AI/ML deployment and scaling.
• Proven ability to write high-quality, production-grade code while simultaneously mentoring junior developers and guiding technical strategy.
• A strong portfolio of projects showcasing the successful delivery of AI solutions into a production business environment.
• Excellent communication skills to collaborate effectively with business SMEs, UI developers, and platform stakeholders.

Responsibilities

• Lead the development of custom AI platform components.
• Build and maintain full-stack applications utilizing Python, Java (Spring Boot), and modern frontend frameworks like React (e.g., developing internal LLM/SLM fine-tuning planes, microservices, and experiment tracking dashboards).
• Code and optimize multi-tenant intelligent agents utilizing modular orchestration patterns such as ReAct and ReWOO, and frameworks like Google's Agent Development Kit (ADK).
• Develop and enforce clean, decoupled integration layers.
• Build Model Context Protocol (MCP) servers ensuring a strict communication flow: Agents interact solely with MCP servers, and MCP servers interact solely with APIs to retrieve data. Direct database access from agents or MCP servers is strictly prohibited.
• Write the data ingestion and retrieval code for advanced Retrieval-Augmented Generation (RAG) architectures, including Knowledge Graph RAG (GraphRAG), LightRAG, and hierarchical summary trees (RAPTOR).
• Develop seamless integrations with graph and vector databases (such as Neo4j and pgvector) to power complex, thematic data retrieval.
• Design robust LLM instructions and classification logic to prevent collisions in complex workflows, ensuring mutually exclusive intents are handled with high precision.
• Act as a Forward Deployed Engineer (FDE), working directly with Subject Matter Experts (SMEs) on business and domain understanding to accurately translate complex enterprise workflows into automated, agent-driven code.
• Partner with UI and workflow integration developers to ensure the backend agentic logic connects flawlessly with user-facing layers and existing enterprise APIs.

Benefits

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior