Senior AI Data Engineer - Vice President
About the role
Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Job Overview
The Senior AI Data Engineer (Applications Development Technology Lead Analyst - C13) is a senior-level position responsible for designing, developing, and deploying AI agents capable of understanding goals, planning actions, and executing tasks with minimal human intervention. This role requires a strong understanding of AI principles, agent-based systems, machine learning, and software engineering best practices.
The ideal candidate will be able to translate research ideas into robust and scalable production systems. In coordination with the Technology team, this role will also be responsible for establishing and implementing new or revised application systems and programs. The overall objective of this role is to lead applications systems analysis and programming activities.
Key Responsibilities:
- Agent Design and Development: Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules.
- System Architecture: Develop scalable and robust architectures for agentic systems, ensuring high performance, reliability, and security.
- Machine Learning Integration: Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities and decision-making.
- Task Automation: Develop agents that can automate complex tasks, optimize workflows, and solve real-world problems across various domains.
- Framework and Tooling: Utilize and contribute to agentic AI frameworks and development tools.
- Evaluation and Optimization: Design and implement metrics and evaluation strategies for agent performance, continuously optimizing and improving agent behavior.
- Research and Innovation: Stay abreast of the latest advancements in AI, particularly in agent-based systems, autonomous AI, and related fields, and propose innovative solutions.
- Collaboration: Work closely with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate agentic solutions into broader products and services.
- Documentation: Create comprehensive technical documentation for agent designs, implementations, and operational procedures.
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Required Qualifications:
- 6+ years of professional experience in software development with a focus on AI, machine learning, or agent-based systems.
- Experience in finance industry a plus.
- Programming: Strong proficiency in Python, SQL; Java is a plus.
- AI/ML Expertise:
- Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas).
- Familiarity with large language models (LLMs) and their application in agentic systems.
- Familiarity with specific agent frameworks (e.g., LangChain, AutoGen, CrewAI, RAG) or research in multi-agent reinforcement learning.
- Experience in designing and implementing APIs for AI services.
- Software Engineering: Experience with software development best practices, including version control (Git), CI/CD pipelines, testing, and code reviews.
- Problem-Solving: Excellent analytical and problem-solving skills with a creative approach to complex challenges.
- Communication: Strong written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.
- Platforms: Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Education:
- Bachelor's degree in computer science, artificial intelligence, robotics, or a related quantitative field, or equivalent experience
- Master's degree preferred
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location Full Time Salary Range:
$120,800.00 - $170,800.00
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
AI Agents, Data Analytics, Data Science, Large Language Models (LLMs), Machine Learning (ML), Python Frameworks, Structured Query Language (SQL).
Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
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.
About Citi
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
For information on Citi’s commitment to privacy, visit on.citi/privacy.
Senior AI Data Engineer - Vice President
About the role
Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Job Overview
The Senior AI Data Engineer (Applications Development Technology Lead Analyst - C13) is a senior-level position responsible for designing, developing, and deploying AI agents capable of understanding goals, planning actions, and executing tasks with minimal human intervention. This role requires a strong understanding of AI principles, agent-based systems, machine learning, and software engineering best practices.
The ideal candidate will be able to translate research ideas into robust and scalable production systems. In coordination with the Technology team, this role will also be responsible for establishing and implementing new or revised application systems and programs. The overall objective of this role is to lead applications systems analysis and programming activities.
Key Responsibilities:
- Agent Design and Development: Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules.
- System Architecture: Develop scalable and robust architectures for agentic systems, ensuring high performance, reliability, and security.
- Machine Learning Integration: Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities and decision-making.
- Task Automation: Develop agents that can automate complex tasks, optimize workflows, and solve real-world problems across various domains.
- Framework and Tooling: Utilize and contribute to agentic AI frameworks and development tools.
- Evaluation and Optimization: Design and implement metrics and evaluation strategies for agent performance, continuously optimizing and improving agent behavior.
- Research and Innovation: Stay abreast of the latest advancements in AI, particularly in agent-based systems, autonomous AI, and related fields, and propose innovative solutions.
- Collaboration: Work closely with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate agentic solutions into broader products and services.
- Documentation: Create comprehensive technical documentation for agent designs, implementations, and operational procedures.
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Required Qualifications:
- 6+ years of professional experience in software development with a focus on AI, machine learning, or agent-based systems.
- Experience in finance industry a plus.
- Programming: Strong proficiency in Python, SQL; Java is a plus.
- AI/ML Expertise:
- Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas).
- Familiarity with large language models (LLMs) and their application in agentic systems.
- Familiarity with specific agent frameworks (e.g., LangChain, AutoGen, CrewAI, RAG) or research in multi-agent reinforcement learning.
- Experience in designing and implementing APIs for AI services.
- Software Engineering: Experience with software development best practices, including version control (Git), CI/CD pipelines, testing, and code reviews.
- Problem-Solving: Excellent analytical and problem-solving skills with a creative approach to complex challenges.
- Communication: Strong written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.
- Platforms: Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Education:
- Bachelor's degree in computer science, artificial intelligence, robotics, or a related quantitative field, or equivalent experience
- Master's degree preferred
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location Full Time Salary Range:
$120,800.00 - $170,800.00
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
AI Agents, Data Analytics, Data Science, Large Language Models (LLMs), Machine Learning (ML), Python Frameworks, Structured Query Language (SQL).
Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
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.
About Citi
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
For information on Citi’s commitment to privacy, visit on.citi/privacy.