Senior AI Engineer Vice President

Overview of the Role (Required for every posting, at the top) Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first‑class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services. Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well‑rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together. The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities Architect and Lead Design: Design, architect, and lead the development of sophisticated virtual assistants and chatbots, leveraging cutting‑edge Generative AI platforms and microservices architectures. Advanced NLP & NLU Strategy: Define and implement strategies for advanced Natural Language Processing (NLP) and Natural Language Understanding (NLU) models, focusing on complex intent recognition, advanced entity extraction, contextual reasoning, and human‑like conversational flows. GenAI Tooling & Innovation: Leverage and integrate state‑of‑the‑art NLP and GenAI tools for intent development, prompt engineering, and creating highly intelligent and adaptive bot interactions. Drive innovation by exploring new GenAI techniques and models. Agentic AI Systems: Architect and build advanced agentic AI systems capable of proactive problem‑solving, autonomous decision‑making, and sophisticated user engagement. Seamless Integration & Orchestration: Design and oversee the seamless integration of AI solutions with complex enterprise backend systems via robust APIs, ensuring high performance, scalability, and security across live chat platforms and other communication channels. Data Architecture & Security: Architect and implement secure, scalable, and compliant data storage and retrieval mechanisms for conversational data, leveraging advanced database solutions including but not limited to MongoDB, SQL, NoSQL solutions, and distributed data stores. Ensure adherence to data governance policies. Resilience & Reliability: Develop comprehensive error handling, fault tolerance, and fallback systems, including intelligent routing and seamless handoff to human agents, to ensure an exceptionally smooth and reliable user experience. Data Privacy & Compliance Leadership: Establish and enforce best practices for user data privacy and security, safeguarding sensitive information and ensuring strict compliance with relevant global regulations (e.g., GDPR, CCPA). Feature Roadmap & Implementation: Lead the development and integration of advanced bot features such as sophisticated FAQ automation, engaging small talk capabilities, rich content rendering, complex account troubleshooting workflows, and intelligent live agent handover. GenAI Thought Leadership: Stay at the absolute forefront of AI and Generative AI advancements. Evaluate, integrate, and drive the adoption of emerging GenAI platforms (e.g., Gemini, GPT models) and research breakthroughs to maintain a competitive edge. Recommended Qualifications Bachelor's degree in Computer Science, Information Technology, or a related quantitative field. Master's degree preferred. Minimum 6+ years of proven experience as a Software Engineer or Architect, with significant leadership experience in designing and building large‑scale, AI‑powered applications. Extensive hands‑on experience in architecting and developing virtual assistants, chatbots, and conversational AI platforms using leading AI platforms (e.g., Kore.AI, Rasa, Dialogflow) and microservices architectures. Deep proficiency in Python (preferred) or JavaScript/TypeScript, with a strong understanding of software design patterns, data structures, and algorithms. Expert‑level understanding and practical experience in advanced NLP/NLU concepts, machine learning, and Generative AI techniques. Demonstrated experience with complex API integrations, enterprise system connectivity, and message queueing technologies. Strong expertise in database management (SQL, NoSQL), data modeling, and robust data security best practices. Exceptional problem‑solving, analytical, and critical‑thinking skills, with the ability to lead and mentor cross‑functional teams. Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences. Proven experience with cloud platforms (AWS, Azure, GCP) including serverless architectures and managed AI/ML services. Experience with MLOps practices, CI/CD pipelines for AI models, and agile development methodologies at an enterprise scale. Contributions to open‑source GenAI/NLP projects, publications, or active participation in relevant AI/ML communities. Experience with containerization (Docker, Kubernetes) and orchestration technologies. Education Bachelor’s degree/University degree or equivalent experience Master’s degree preferred Benefits 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. Anticipated Posting Close Date May 11, 2026 Equal Opportunity Statement Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. For people with disabilities who need a reasonable accommodation to use our search tools and/or apply for a career opportunity, see Accessibility at Citi. View EEO Policy Statement and Know Your Rights poster. This job description provides a high‑level review of the types of work performed. Other job‑related duties may be assigned as required. #J-18808-Ljbffr