Citi
Trade Data AI Application Design Development Lead Sr Vice President
Citi, Tampa, Florida, us, 33646
Overview
Join to apply for the
Trade Data AI Application Design Development Lead Sr Vice President
role at
Citi . Location: Tampa, Florida, United States. Time type: Full time. Primary Location Salary Range: $141,440.00 - $212,160.00. Anticipated posting close date: Sep 15, 2025. Responsibilities
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 partner with multiple IT teams and Cloud providers to accelerate public cloud adoption and harness 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 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 and technical challenges to senior leadership. Build deep technical partnerships across Trade Working Capital Solutions and Citi Engineering teams to optimize Developer Experience and cloud-native onboarding frameworks. Foster a culture of innovation and engineering excellence, promoting modern practices, open source adoption, and collaboration. Develop a team that is seen as an engineering role model. Qualifications
10+ years of experience as a hands-on technical leader in a large organization, capable of structuring, establishing, and leading multiple product-centric engineering teams. 8+ years in software and data architecture, AI strategy, and delivery transformation with a focus on Continuous Delivery. 8+ years in Big Data platforms and Data streaming frameworks. 5+ years in Big Data & AI technologies (Spark, Hadoop, Hive, Impala, Kafka, Scala, Cloudera, Gen AI, Prompt Engineering, Agentic AI). 5+ years in Cloud platforms and related Developer Toolchains, DevOps best practices. 5+ years of hands-on AI/ML development, including at least 2 years in technical leadership; proven track record of building and deploying AI applications, preferably in finance or Trade/Working Capital domains. Experience with data governance, data standardization, and metadata management. Strong SQL and NoSQL experience (Oracle, MongoDB, PostgreSQL) for data extraction, reconciliation, and transformation. Advanced Python skills and AI/ML techniques; experience with prompt engineering, fine-tuning, and deploying LLMs in production. Experience with agentic AI orchestration frameworks and multi-agent systems. Strong software engineering essentials: 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 with the ability to engage stakeholders at all levels. Education
Bachelor's degree in computer science, computer technology, information systems or equivalent work experience. Legal and Company Information
Citi is an equal opportunity employer. Anticipated posting close date: Sep 15, 2025.
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Join to apply for the
Trade Data AI Application Design Development Lead Sr Vice President
role at
Citi . Location: Tampa, Florida, United States. Time type: Full time. Primary Location Salary Range: $141,440.00 - $212,160.00. Anticipated posting close date: Sep 15, 2025. Responsibilities
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 partner with multiple IT teams and Cloud providers to accelerate public cloud adoption and harness 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 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 and technical challenges to senior leadership. Build deep technical partnerships across Trade Working Capital Solutions and Citi Engineering teams to optimize Developer Experience and cloud-native onboarding frameworks. Foster a culture of innovation and engineering excellence, promoting modern practices, open source adoption, and collaboration. Develop a team that is seen as an engineering role model. Qualifications
10+ years of experience as a hands-on technical leader in a large organization, capable of structuring, establishing, and leading multiple product-centric engineering teams. 8+ years in software and data architecture, AI strategy, and delivery transformation with a focus on Continuous Delivery. 8+ years in Big Data platforms and Data streaming frameworks. 5+ years in Big Data & AI technologies (Spark, Hadoop, Hive, Impala, Kafka, Scala, Cloudera, Gen AI, Prompt Engineering, Agentic AI). 5+ years in Cloud platforms and related Developer Toolchains, DevOps best practices. 5+ years of hands-on AI/ML development, including at least 2 years in technical leadership; proven track record of building and deploying AI applications, preferably in finance or Trade/Working Capital domains. Experience with data governance, data standardization, and metadata management. Strong SQL and NoSQL experience (Oracle, MongoDB, PostgreSQL) for data extraction, reconciliation, and transformation. Advanced Python skills and AI/ML techniques; experience with prompt engineering, fine-tuning, and deploying LLMs in production. Experience with agentic AI orchestration frameworks and multi-agent systems. Strong software engineering essentials: 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 with the ability to engage stakeholders at all levels. Education
Bachelor's degree in computer science, computer technology, information systems or equivalent work experience. Legal and Company Information
Citi is an equal opportunity employer. Anticipated posting close date: Sep 15, 2025.
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