AI Application Design Development Lead Sr Vice President | Citi Careers

The Application Design / Development Lead is a hands-on senior technical & management level position and is responsible for defining and executing core architecture and technology strategy for Trade and Working Capital Solution Data and AI initiatives.

• Establish and lead an elite engineering culture focused on building core Platform components across Application and Service Frameworks, UI, and Data Engineering for use across the organization.
• Create technology solutions and work in partnership with multiple IT teams and with Cloud providers to accelerate public cloud Adoption and harness associated emerging technologies
• Drive data standardization efforts in alignment with regulatory requirements, consent orders, and enterprise data policies.
• Ensure data lineage, quality, and governance compliance across all critical data elements (CDEs).
• Collaborate with Risk, Compliance, and Regulatory teams to address consent order requirements related to data controls, reconciliation, and validation.
• Implement data quality frameworks, metadata management, and lineage tracking for improved data transparency and regulatory reporting.
• Optimize data ingestion, transformation, and processing pipelines using streaming and batch processing methodologies.
• Develop and enforce data security and privacy controls to meet internal and external regulatory expectations.
• Work closely with cross-functional teams to automate data reconciliation and anomaly detection.
• Architect and oversee the development of agentic GenAI applications, ensuring high-quality, scalable, and secure solutions
• Design and manage data pipelines and model integration, ensuring optimal performance and data quality
• Drive rapid prototyping, experimentation, and iteration of GenAI features and capabilities
• Ensure compliance with security and regulatory standards relevant to AI in financial services
• Actively contribute to coding, code reviews, and technical problem-solving alongside your team
• Guide and mentor developers, fostering skill growth and best practices in AI/ML and software engineering
• Report on project progress, technical challenges, and team needs to senior leadership
• Work across the Trade Working Capital Solutions businesses to forge deep technical partnerships with senior technical leaders and practitioners
• Partner with Engineering teams across Citi to create an environment that provides an optimal Developer Experience for, from IDE and CI/CD through to IaaS provisioning and Cloud Native Service on-boarding frameworks.
• Foster a culture of innovation and engineering excellence across the Enterprise: modern engineering practices, adoption of open source and open standards, creating a culture of collaboration and efficiency
• Develop a team that is seen as an engineering role model

• 10+ years experience and deep expertise as a hands-on technical leader working on complex systems in a large organization, structuring, establishing, and leading multiple product-centric engineering teams
• 8+ years experience driving software architecture, data architecture, AI strategy and delivery transformation through Agile practice and process, with a focus of establishing Continuous Delivery culture and process
• 8+ years experience and expertise in BigData platforms and Data streaming frameworks
• 5+ years experience and strong expertise in Big Data & AI technologies (Spark, Hadoop, Hive, Impala, Kafka, Scala, Cloudera, Gen AI, Prompt Engineering, Agentic AI)
• 5+ years experience and expertise in Cloud platforms and associated Developer Toolchains, DevOps models, and best practice
• 5+ years of hands-on AI/ML development experience, including at least 2 year in technical leadership or team lead capacity
• Proven track record of building and deploying AI applications, preferably in finance, Trade and Working Capital Finance or related industries
• Experience with data governance, data standardization, and metadata management frameworks
• Strong SQL and NoSQL experience (Oracle, MongoDB, PostgreSQL) for data extraction, reconciliation, and transformation
• Advanced proficiency in Python and AI/ML techniques
• Experience with prompt engineering, fine-tuning, and deploying LLMs in production environments
• Experience with agentic AI orchestration frameworks and multi-agent systems
• Strong software engineering skills: version control, CI/CD, testing, and code optimization
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
• Ability to design scalable APIs and backend systems
• Exceptional communicator who loves working with people, confident communicating at all levels from an individual team to the entire enterprise
• Highly credible hands on engineer, confident to deep dive into a product and codebase and offer detailed, constructive analysis and feedback
• Well-developed technical written communication skills and able to effectively use internal social media platforms to communicate across the group

• 401(k)
• Medical, dental & vision coverage
• 401(k) matching
• Life, accident, and disability insurance
• Wellness programs
• Paid time off packages
• Paid holidays

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