Senior AI Engineer for Banking Technology
Senior AI Engineer, Banking Technology - C13 (VP Level) (Hybrid)
Role Overview
Citi's Banking Technology organization is seeking a highly hands-on Senior AI Engineer to design, build, and deploy cutting-edge AI solutions for Investment, Corporate, and Commercial Banking.
This role focuses on implementing scalable, agentic AI frameworks and generative AI solutions within small, agile squads. The successful candidate will operate with an AI-first mindset, emphasizing rapid prototyping, MVP-driven development, and iterative delivery of production-grade AI capabilities.
Key Responsibilities
AI Solution Development: Design, implement, and deploy scalable agentic AI frameworks and generative AI solutions for critical business use cases, ensuring robustness, performance, security, and reliability.
Agentic Systems: Develop and integrate agentic AI systems leveraging multiple model providers and platforms (e.g., OpenAI, Anthropic, Google APIs).
Full-Stack AI Engineering: Build full-stack applications integrating LLM-driven workflows and AI coding tools (e.g., Devin, GitHub Copilot).
Iterative Delivery: Drive an MVP-first, rapid-iteration approach with continuous experimentation and improvement.
Evaluation & Optimization: Define and implement metrics, evaluation strategies, and feedback loops to continuously improve AI system performance and behavior.
Emerging Technologies: Research, prototype, and integrate advances in agent-based, autonomous, and generative AI technologies.
Technical Collaboration: Contribute hands-on within cross-functional teams and provide technical guidance and mentorship to junior engineers.
Domain Alignment: Ensure AI solutions are well-aligned to banking and financial services requirements, constraints, and business outcomes.
Qualifications
Programming: Strong proficiency in Python and/or Java (Spring Boot); working knowledge of JavaScript/TypeScript (Angular, Node.js). Full-stack experience is a plus.
AI/ML Expertise:
Solid understanding of core AI concepts such as knowledge representation, planning, and multi-agent systems.
Hands-on experience with LLMs, RAG, prompt engineering, MCPs, and agent frameworks (e.g., Google ADK).
Practical experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas).
Familiarity with AI coding tools such as Devin, Claude Code, GitHub Copilot, and Antigravity.
Software Engineering: Strong grounding in modern engineering practices including Git, CI/CD, testing, code reviews, agile delivery, application resiliency, and security.
Architecture: Experience designing API-first, microservices-based and event-driven architectures, including data engineering patterns for AI systems.
Platforms: Hands-on experience with Docker, Kubernetes, and OpenShift.
Problem Solving & Communication: Strong analytical skills with the ability to clearly communicate complex technical concepts.
Domain Knowledge: Solid understanding of banking/financial services and regulated environments.
Nice to Have: Experience in data science (statistical modeling, experimentation) and interest in mentoring junior AI engineers.
Experience:
6+ years of progressive software engineering experience with a strong hands-on coding background.
2+ years focused on AI software development, LLM-based solutions, agentic systems, and/or machine learning.
Demonstrated experience delivering enterprise-scale AI capabilities into production.
Education:
Bachelor's or Master's degree in Computer Science, AI, Robotics, or a related quantitative discipline.
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Jersey City New Jersey United States
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00
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
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
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.
Apply tot his job
Apply To this Job
Role Overview
Citi's Banking Technology organization is seeking a highly hands-on Senior AI Engineer to design, build, and deploy cutting-edge AI solutions for Investment, Corporate, and Commercial Banking.
This role focuses on implementing scalable, agentic AI frameworks and generative AI solutions within small, agile squads. The successful candidate will operate with an AI-first mindset, emphasizing rapid prototyping, MVP-driven development, and iterative delivery of production-grade AI capabilities.
Key Responsibilities
AI Solution Development: Design, implement, and deploy scalable agentic AI frameworks and generative AI solutions for critical business use cases, ensuring robustness, performance, security, and reliability.
Agentic Systems: Develop and integrate agentic AI systems leveraging multiple model providers and platforms (e.g., OpenAI, Anthropic, Google APIs).
Full-Stack AI Engineering: Build full-stack applications integrating LLM-driven workflows and AI coding tools (e.g., Devin, GitHub Copilot).
Iterative Delivery: Drive an MVP-first, rapid-iteration approach with continuous experimentation and improvement.
Evaluation & Optimization: Define and implement metrics, evaluation strategies, and feedback loops to continuously improve AI system performance and behavior.
Emerging Technologies: Research, prototype, and integrate advances in agent-based, autonomous, and generative AI technologies.
Technical Collaboration: Contribute hands-on within cross-functional teams and provide technical guidance and mentorship to junior engineers.
Domain Alignment: Ensure AI solutions are well-aligned to banking and financial services requirements, constraints, and business outcomes.
Qualifications
Programming: Strong proficiency in Python and/or Java (Spring Boot); working knowledge of JavaScript/TypeScript (Angular, Node.js). Full-stack experience is a plus.
AI/ML Expertise:
Solid understanding of core AI concepts such as knowledge representation, planning, and multi-agent systems.
Hands-on experience with LLMs, RAG, prompt engineering, MCPs, and agent frameworks (e.g., Google ADK).
Practical experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas).
Familiarity with AI coding tools such as Devin, Claude Code, GitHub Copilot, and Antigravity.
Software Engineering: Strong grounding in modern engineering practices including Git, CI/CD, testing, code reviews, agile delivery, application resiliency, and security.
Architecture: Experience designing API-first, microservices-based and event-driven architectures, including data engineering patterns for AI systems.
Platforms: Hands-on experience with Docker, Kubernetes, and OpenShift.
Problem Solving & Communication: Strong analytical skills with the ability to clearly communicate complex technical concepts.
Domain Knowledge: Solid understanding of banking/financial services and regulated environments.
Nice to Have: Experience in data science (statistical modeling, experimentation) and interest in mentoring junior AI engineers.
Experience:
6+ years of progressive software engineering experience with a strong hands-on coding background.
2+ years focused on AI software development, LLM-based solutions, agentic systems, and/or machine learning.
Demonstrated experience delivering enterprise-scale AI capabilities into production.
Education:
Bachelor's or Master's degree in Computer Science, AI, Robotics, or a related quantitative discipline.
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Jersey City New Jersey United States
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00
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
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
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.
Apply tot his job
Apply To this Job