Senior Java Architect - Vice President

As a Senior Java Architect at Citi, you will lead a team of engineers building Large Language Model and Retrieval-Augmented Generation solutions that power next-generation applications across the organization. You will combine hands-on technical direction with people leadership, shaping how Citi designs, builds, and scales AI-driven systems using Java, Python, and modern machine learning frameworks. This role sits within Citi's Technology function and offers the chance to influence architecture decisions that reach a global engineering organization.

Responsibilities

• Lead the design and delivery of AI and machine learning solutions, including Large Language Model and Retrieval-Augmented Generation architectures.
• Manage multiple engineering teams, setting technical direction and tracking delivery against established goals.
• Oversee hiring, performance evaluations, and career development for engineers across your teams.
• Own budget planning and resource allocation for AI engineering initiatives, monitoring outcomes against targets.
• Define engineering standards and best practices for applications development, ensuring consistent, high-quality delivery.
• Resolve complex technical and operational issues by applying deep expertise in AI engineering and broader technology knowledge.
• Negotiate priorities and align delivery plans with senior stakeholders across technology and business functions.
• Safeguard Citi and its clients by identifying risk early, applying sound judgment, and escalating control issues with transparency.

Required Qualifications & Skills

• 10 or more years of relevant engineering experience, including people or team leadership.
• Strong hands-on experience building applications in Java.
• Proven industry experience designing and delivering Artificial Intelligence and Machine Learning solutions.
• Proficiency in Python with experience using frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face.
• Deep hands-on experience with Large Language Models such as GPT, Llama, or Claude.
• Solid understanding of Natural Language Processing concepts, techniques, and evaluation methods.
• Experience containerizing applications with Docker and orchestrating them using Kubernetes.

Beneficial Skills & Qualifications

• Experience with document digitization technologies such as Tesseract, Abbyy, Kofax, or Google Vision combined with AI and machine learning.
• Experience migrating legacy applications to microservices or micro-frontend based architectures.
• Familiarity with cloud platforms such as AWS, GCP, or Azure and their AI and machine learning services.

What We Offer

You will join a global engineering organization where your leadership directly shapes how Citi builds and scales AI technology.