Overview
Remote
On Site
USD 141,440.00 - 212,160.00 per year
Full Time
Skills
IT Strategy
Strategist
UI
Emerging Technologies
Regulatory Reporting
Batch Processing
Data Security
Privacy
Software Design
Management
Data Quality
Rapid Prototyping
Regulatory Compliance
Financial Services
Mentorship
Reporting
Leadership
Partnership
IDE
IaaS
Provisioning
Innovation
Open Source
Collaboration
Software Architecture
Data Architecture
Agile
FOCUS
Streaming
Apache Spark
Apache Hadoop
Apache Hive
Cloudera Impala
Apache Kafka
Scala
Cloudera
DevOps
Team Leadership
Finance
Data Governance
Meta-data Management
SQL
NoSQL
Oracle
MongoDB
PostgreSQL
Data Extraction
Python
Machine Learning (ML)
Prompt Engineering
Orchestration
Software Engineering
Version Control
Testing
Code Optimization
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Docker
Kubernetes
Social Media
Data Engineering
Software Development
Problem Solving
Conflict Resolution
Analytical Skill
Communication
Computer Science
Information Systems
Application Development
Insurance
Artificial Intelligence
Big Data
Continuous Integration
Continuous Delivery
Cloud Computing
Generative Artificial Intelligence (AI)
IT Management
SEP
Law
Accessibility
Job Details
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. The role is equal parts engineer, architect, strategist, execution driver, and change agent. This role will define and establish the Common Trade Data and Platform Engineering frameworks and associated capability delivery. The position requires a senior candidate with exceptional technical, leadership, and communication abilities.
Key Responsibilities:
o 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.
o 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
o Drive data standardization efforts in alignment with regulatory requirements, consent orders, and enterprise data policies.
o Ensure data lineage, quality, and governance compliance across all critical data elements (CDEs).
o Collaborate with Risk, Compliance, and Regulatory teams to address consent order requirements related to data controls, reconciliation, and validation.
o Implement data quality frameworks, metadata management, and lineage tracking for improved data transparency and regulatory reporting.
o Optimize data ingestion, transformation, and processing pipelines using streaming and batch processing methodologies.
o Develop and enforce data security and privacy controls to meet internal and external regulatory expectations.
o Work closely with cross-functional teams to automate data reconciliation and anomaly detection.
o 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
o 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
o 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
o Work across the Trade Working Capital Solutions businesses to forge deep technical partnerships with senior technical leaders and practitioners
o 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.
o 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
o Develop a team that is seen as an engineering role model
Qualifications:
o 10+ yeas 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
o 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
o 8+ years experience and expertise in BigData platforms and Data streaming frameworks
o 5+ years experience and strong expertise in Big Data & AI technologies (Spark, Hadoop, Hive, Impala, Kafka, Scala, Cloudera, Gen AI, Prompt Engineering, Agentic AI).
o 5+ years experience and expertise in Cloud platforms and associated Developer Toolchains, DevOps models, and best practice
o 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
o Experience with data governance, data standardization, and metadata management frameworks.
o Strong SQL and NoSQL experience (Oracle, MongoDB, PostgreSQL) for data extraction, reconciliation, and transformation.
o Advanced proficiency in Python and AI/ML techniques Experience with prompt engineering, fine-tuning, and deploying LLMs in production environments
o 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, Google Cloud Platform, Azure) and containerization (Docker, Kubernetes)
o Ability to design scalable APIs and backend systems
o Exceptional communicator who loves working with people, confident communicating at all levels from an individual team to the entire enterprise
o Highly credible hands on engineer, confident to deep dive into a product and codebase and offer detailed, constructive analysis and feedback
o Well-developed technical written communication skills and able to effectively use internal social media platforms to communicate across the group
of experience in data engineering, Big Data platforms, and software development.
o Excellent problem-solving, analytical, and communication skills
Education:
Bachelor's degree in computer science, computer technology, information systems or equivalent work experience
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Tampa Florida United States
Primary Location Full Time Salary Range:
$141,440.00 - $212,160.00
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.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
AI Programming, Architecture Development, Big Data, CI/CD, Cloud Applications, Generative AI, Technical Leadership.
Anticipated Posting Close Date:
Sep 15, 2025
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.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.
Key Responsibilities:
o 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.
o 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
o Drive data standardization efforts in alignment with regulatory requirements, consent orders, and enterprise data policies.
o Ensure data lineage, quality, and governance compliance across all critical data elements (CDEs).
o Collaborate with Risk, Compliance, and Regulatory teams to address consent order requirements related to data controls, reconciliation, and validation.
o Implement data quality frameworks, metadata management, and lineage tracking for improved data transparency and regulatory reporting.
o Optimize data ingestion, transformation, and processing pipelines using streaming and batch processing methodologies.
o Develop and enforce data security and privacy controls to meet internal and external regulatory expectations.
o Work closely with cross-functional teams to automate data reconciliation and anomaly detection.
o 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
o 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
o 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
o Work across the Trade Working Capital Solutions businesses to forge deep technical partnerships with senior technical leaders and practitioners
o 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.
o 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
o Develop a team that is seen as an engineering role model
Qualifications:
o 10+ yeas 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
o 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
o 8+ years experience and expertise in BigData platforms and Data streaming frameworks
o 5+ years experience and strong expertise in Big Data & AI technologies (Spark, Hadoop, Hive, Impala, Kafka, Scala, Cloudera, Gen AI, Prompt Engineering, Agentic AI).
o 5+ years experience and expertise in Cloud platforms and associated Developer Toolchains, DevOps models, and best practice
o 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
o Experience with data governance, data standardization, and metadata management frameworks.
o Strong SQL and NoSQL experience (Oracle, MongoDB, PostgreSQL) for data extraction, reconciliation, and transformation.
o Advanced proficiency in Python and AI/ML techniques Experience with prompt engineering, fine-tuning, and deploying LLMs in production environments
o 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, Google Cloud Platform, Azure) and containerization (Docker, Kubernetes)
o Ability to design scalable APIs and backend systems
o Exceptional communicator who loves working with people, confident communicating at all levels from an individual team to the entire enterprise
o Highly credible hands on engineer, confident to deep dive into a product and codebase and offer detailed, constructive analysis and feedback
o Well-developed technical written communication skills and able to effectively use internal social media platforms to communicate across the group
of experience in data engineering, Big Data platforms, and software development.
o Excellent problem-solving, analytical, and communication skills
Education:
Bachelor's degree in computer science, computer technology, information systems or equivalent work experience
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Tampa Florida United States
Primary Location Full Time Salary Range:
$141,440.00 - $212,160.00
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.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
AI Programming, Architecture Development, Big Data, CI/CD, Cloud Applications, Generative AI, Technical Leadership.
Anticipated Posting Close Date:
Sep 15, 2025
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.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.