Lead Agentic AI Engineer – Vice President

Citibank (Switzerland) AG; Irving, Northern (TX, KY); Hybrid; Confidential; Full time

Benefits offered by this job

Hybrid work model

Competitive compensation

Wellbeing programs

Job summary

Citi is seeking a Lead Agentic AI Engineer (Vice President) to architect and deliver production-grade agentic AI systems at scale. You will own the design and deployment of intelligent, multi-agent platforms interfacing large language models with retrieval-augmented generation and microservices.

Role demands deep Python, LLMs, and full-stack capabilities, plus leadership to mentor teams and drive measurable business outcomes.

Qualifications

• 10+ years of professional software engineering experience.
• 5+ years of AI/ML experience with at least 2+ years in Generative AI (LLMs, RAG, Agentic workflows).
• 3+ years of leadership experience managing technical teams and delivering AI solutions.

Responsibilities

• Architect and deliver production-grade agentic AI systems across multi-tenant platforms.
• Lead full-stack development with Python, Java Spring Boot, and React-based frontends.
• Design modular orchestration patterns and MCP-based data flows to enforce safe, scalable integrations.

Skills

Python

LLMs

Agentic workflows

Full-stack

Leadership

Education

Bachelor’s or Master’s in CS/Engineering

Tools

ADK

LangChain

LangGraph

Spring Boot

Job description

## Lead Agentic AI Engineer – Vice PresidentApply: Hybrid: Irving Texas United States: Tampa Florida United States: Full time: Posted Yesterday: 26979348Citi 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.**Key Responsibilities** 1. Core Platform & Application Development Full-Stack Engineering: 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). Agentic Frameworks: 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). Strict Architectural Implementation: 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. 2. Advanced Data Retrieval & Logic Engineering Next-Generation RAG: 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). Vector & Graph Integrations: Develop seamless integrations with graph and vector databases (such as Neo4j and pgvector) to power complex, thematic data retrieval. Prompt & Intent Engineering: Design robust LLM instructions and classification logic to prevent collisions in complex workflows, ensuring mutually exclusive intents are handled with high precision. 3. Use Case Development & Forward Deployment SME Collaboration: 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. Seamless Integration: Partner with UI and workflow integration developers to ensure the backend agentic logic connects flawlessly with user-facing layers and existing enterprise APIs.**Qualifications** **Required Experience & Education** 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.**Technical Skills** **AI/ML & Python:** Deep hands-on expertise in Python, LLM orchestration, prompt engineering, and agentic frameworks (ADK, LangChain, LangGraph, etc.). **Full-Stack & Microservices:** Strong proficiency in backend development using Java (Spring Boot) or Python (FastAPI), and frontend development using React. **Data & Databases:** Experience integrating applications with relational database like Oracle and Graph databases (Neo4j) and Vector databases (pgvector, Pinecone, or Milvus). **Cloud & Infrastructure:** Extensive hands-on experience with AWS services and infrastructure related to AI/ML deployment and scaling.**Leadership & Portfolio** **Player-Coach Mindset:** Proven ability to write high-quality, production-grade code while simultaneously mentoring junior developers and guiding technical strategy. **Production Portfolio:** A strong portfolio of projects showcasing the successful delivery of AI solutions into a production business environment. **Communication:** Excellent communication skills to collaborate effectively with business SMEs, UI developers, and platform stakeholders.## What We OfferJoining Citi means working on AI challenges that operate at genuine global scale, within a team committed to technical excellence and meaningful engineering impact. You will have the autonomy to lead complex problem-solving, the support to grow your expertise, and access to a collaborative environment where engineering quality and business outcomes are taken seriously.* A hybrid working model that balances 3 days in the office with 2 days working remotely, giving you flexibility without sacrificing team connection.* The opportunity to lead cutting-edge agentic AI and LLM engineering at one of the world's largest financial institutions, with access to enterprise-scale data and infrastructure.* Continuous learning and technical development, including exposure to the latest AI frameworks, tooling, and research applied to real-world production systems.* Competitive compensation and a comprehensive financial wellbeing package appropriate for a Vice President-level role.* Wellbeing support and work-life balance programmes designed to sustain long-term performance and personal wellbeing.* Access to global collaboration across Citi's technology and AI community, with opportunities to influence engineering direction beyond your immediate team.Apply today to lead the development of agentic AI systems that will define how one of the world's most consequential financial institutions operates in the age of intelligent automation.