Lead Agentic AI Engineer – Vice President

Citi; Irving (TX); Hybride; USD 126 000 - 189 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Enterprise-scale data access

Professional development

Wellbeing programs

Global collaboration

Résumé du poste

Citi is seeking a Lead Agentic AI Engineer (VP) to architect and deliver production-grade agentic AI systems intersecting LLMs, retrieval-augmented generation, and modern full-stack engineering.

You will lead multi-tenant agentic ecosystems, fine-tune applications, and ensure platform adherence to Trust, Adoption, Cost, Operations, and Scalability. Strong Python, LLMs, and full-stack skills required.

Qualifications

• 10+ years of professional software engineering experience.
• 5+ years of 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.

Responsabilités

• 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.
• Advanced Data Retrieval & Logic Engineering: Next-Generation RAG: Write the data ingestion and retrieval code for RAG architectures, including GraphRAG, LightRAG, and RAPTOR. Integrate graph/vector databases for complex retrieval.
• Use Case Development & Forward Deployment: SME Collaboration: Act as a Forward Deployed Engineer with SMEs to translate enterprise workflows into automated, agent-driven code and ensure backend integrates with UI and APIs.

Connaissances

Python

LLMs

Agentic workflows

ADK

LangChain

LangGraph

Java

React

Spring Boot

FastAPI

Oracle

Neo4j

pgvector

AWS

Formation

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field

Outils

ADK

LangChain

LangGraph

React

Spring Boot

FastAPI

Neo4j

pgvector

Description du poste

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.

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 Offer

• 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.

Job Family Group

Technology

Job Family

Applications Development

Time Type

Full time

Primary Location

Irving Texas United States

Primary Location Full Time Salary Range

$125,760.00 - $188,640.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.

Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Most Relevant Skills

Please see the requirements listed above.

Anticipated Posting Close Date

Sep 16, 2026

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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