Lead AI Engineer – VP

Company: Citigroup
Apply for the Lead AI Engineer – VP
Location: Belfast
Job Description:

Overview

In this Lead AI Engineer role, you will shape the technical direction of enterprise AI initiatives and mentor engineers within Citi’s global technology team. You will architect scalable AI-driven applications and data pipelines, focusing on production-ready systems that leverage data at scale. The position emphasizes RAG-based solutions, agent orchestration, and collaboration with cross-functional stakeholders to deliver impactful, compliant AI capabilities. You will own architectural decisions and drive quality through standards, tests, and risk management.

Pay / Benefits

  • hybrid work arrangement
  • continuous learning and development
  • collaborative engineering culture
  • competitive compensation and benefits
  • wellbeing support and work-life balance resources

Responsibilities

  • Architect and develop AI-driven applications and data pipelines using Python
  • Lead design and implementation of Retrieval-Augmented Generation (RAG) systems and agent orchestration frameworks
  • Collaborate with technology and business stakeholders to translate requirements into robust implementations
  • Define and enforce coding standards, testing practices, and implementation processes
  • Evaluate business and system challenges to craft innovative solutions
  • Coach and guide mid-level engineers and analysts, aligning work with project delivery
  • Identify and manage technical risks, ensuring security, compliance, and platform integrity

Key requirements

  • 6–10 years of software or application development experience
  • Hands-on Python for application development, data ingestion, and ETL
  • Experience building RAG pipelines and with ADK, LangGraph, or LangChain
  • Advanced SQL skills for large-scale data queries
  • Solid understanding of Transformer architecture in production AI
  • Proven ability to lead technical teams and deliver in fast-paced environments
  • Strong communication skills to convey complex concepts to diverse audiences
  • leadership
  • cross-functional collaboration
  • clear communication
  • Python
  • RAG pipelines
  • agent orchestration (ADK, LangGraph, LangChain)

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Posted: September 30th, 2026