Lead Generative AI Python Engineer - Vice President

• Lead the design, development, and maintenance of highly complex Python-based GenAI platforms, applications, services, and supporting infrastructure to ensure seamless operation, scalability, and integration of AI capabilities across various Citi business units.

• Lead the design, development, and maintenance of highly complex Python-based GenAI platforms, applications, services, and supporting infrastructure to ensure 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 overall architecture for key use-cases, specifically focusing on Python-based solutions for our lines of business.
• Drive the deployment of new GenAI products and process improvements, working with internal and external partners to design, validate, and deliver solutions with commercial benefit for Citi, with a strong emphasis on robust Python implementations.
• Resolve high-impact technical and business problems, leading projects through in-depth evaluation of complex GenAI business processes, system architecture, and industry standards, providing innovative Python-driven solutions.
• Provide expert guidance and advanced knowledge in Python-based programming, ensuring platform design adheres to architectural blueprints and best practices for generative models.
• Develop and enforce robust Python coding standards, testing methodologies, debugging practices, and implementation strategies for enterprise-grade solutions, leveraging an advanced understanding of system flow.
• Manage multiple concurrent initiatives and projects of varying sizes and complexity, engaging with external vendors and startups for joint initiatives and exploration of new directions, particularly those involving Python-based technologies.
• Cultivate a comprehensive understanding of how business, architecture, and infrastructure integrate within the GenAI ecosystem at Citi to achieve strategic goals.
• Serve as an advisor and coach to mid-level developers and analysts specializing in Python and GenAI technologies, fostering skill development and effective work allocation.
• Collaborate with Citi's Risk and Control teams to ensure best practices are followed regarding governance, risk management, standardization, and tooling for Python-based GenAI systems.

• 6+ years of experience in the software industry, with a strong emphasis on building enterprise software.

• 6+ years of experience in the software industry, with a strong emphasis on building enterprise software.
• 6+ years of relevant experience in developing and implementing scalable and robuest Python-based platforms for AI-driven applications and systems using salient Python libraries (e.g., FastAPI, Flask, Django, Pandas, NumPy, Prefect, Scikit-learn, Hugging Face).
• 5+ years of experience delivering complex Python-based solutions and services (e.g., backend services, APIs) into production.
• Demonstrated experience in managing and implementing successful projects of varying sizes and complexities.
• Proven understanding of Generative AI systems, AIOps, and application monitoring/evaluation.
• Experience with cloud architectures, with specific experience in public cloud offerings.
• Strong passion and proven hands-on experience integrating with AI/ML technologies, particularly using Python.
• Experience with software development agents, agile development, CI/CD pipelines, software testing, and code reviews.
• Ability to quickly learn new technologies, adjust priorities, influence highly skilled engineering teams, and guide technology decisions.
• Demonstrated leadership and project management skills.
• Excellent communication and documentation skills, with the ability to communicate clearly and concisely, both written and verbal.
• Strong analytical, problem-solving skills, and a strategic mindset.
• Experience in the financial industry is a significant advantage.