Senior Python AI Engineer (Hands-On), VP

About Citi:

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 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 Role:

Citi’s global Innovation Labs is seeking a versatile Senior GenAI Platform Engineer to spearhead the design and development of cutting-edge Generative AI platforms. This role is a key driver in creating a competitive advantage for Citi’s lines of business by architecting and delivering high-impact, scalable AI solutions primarily using Python, while also leveraging Node.js and TypeScript. The ideal candidate is an expert polyglot engineer with a proven track record in building enterprise-grade products, who will lead innovative AI projects and shape the future of financial technology at Citi.

Responsibilities

• Lead the design, development, and maintenance of highly complex GenAI platforms, applications, and services using Python, Node.js, and TypeScript.
• Ensure the seamless operation, scalability, and integration of AI capabilities across various Citi business units.
• Engage with data science, technical, and business stakeholders to define and design the overall architecture for key use-cases.
• Drive the deployment of new GenAI products and process improvements, working with internal and external partners to design, validate, and deliver solutions.
• Resolve high-impact technical and business problems, leading projects through in-depth evaluation of complex business processes, system architecture, and industry standards.
• Provide expert guidance and advanced knowledge in modern programming, ensuring platform design adheres to architectural blueprints and best practices for generative models.
• Develop and enforce robust coding standards, testing methodologies, debugging practices, and implementation strategies for enterprise-grade solutions across Python, Node.js, and TypeScript.
• Manage multiple concurrent initiatives and projects of varying sizes and complexity.
• Engage with external vendors and startups for joint initiatives and exploration of new technologies.
• Cultivate a comprehensive understanding of how business, architecture, and infrastructure integrate within the GenAI ecosystem at Citi.
• Serve as an advisor and coach to mid-level developers and analysts specializing in AI technologies to foster skill development.
• Collaborate with Citi’s Risk and Control teams to ensure best practices are followed regarding governance, risk management, standardization, and tooling.

Qualifications

• 5+ years’ progressive experience with hands-on Python engineering in developing and implementing scalable and robust platforms, applications, and services using modern libraries and frameworks (e.g., Python: FastAPI, Flask, Pandas, Scikit-learn, Hugging Face; Node.js: Express, NestJS; TypeScript).
• 5+…