Apply (opens in new window)

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, youll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

The Vice President (C13) GenAI Sr Enginner.

Citi's Banking Technology organization is seeking a talented and hands-on Senior AI Engineer to contribute to the design, development, and deployment of cutting-edge Generative AI and Agentic AI solutions for the banking sector. In this role, you will be responsible for implementing robust, scalable agentic AI workflows, integrating state-of-the-art LLMs, and building resilient full-stack applications that translate business requirements into production-grade systems.

The ideal candidate is an experienced, hands-on software engineer with strong technical depth in AI/ML principles, multi-agent frameworks, API design, and modern software engineering practices.

Key Responsibilities

• Hands-on AI & Agent Development: Design, implement, test, and deploy scalable generative AI applications and agentic workflows for critical banking use cases, ensuring high performance, security, and reliability.
• Full-Stack Implementation: Build end-to-end applications integrating front-end interfaces, backend services, and state-of-the-art LLM tools, APIs, and Model Context Protocol (MCP) integrations.
• Rapid Prototyping & MVP Delivery: Champion an agile, MVP-first mindset to rapidly develop Proof of Concepts (POCs), run A/B experiments, iterate based on feedback, and accelerate time-to-value.
• Evaluation & Observability: Implement evaluation metrics, guardrails, automated testing, and telemetry to benchmark agent behavior, response accuracy, and operational performance.
• Collaboration & Engineering Standards: Collaborate closely with Lead Engineers, Data Scientists, Product Managers, and cross-functional teams; uphold best practices in code quality, automated testing, CI/CD, and peer reviews.
• Continuous Learning & Innovation: Stay abreast of rapid advancements in LLMs, multi-agent orchestration frameworks, prompt engineering, and autonomous systems, applying relevant patterns to banking solutions.

Qualifications & Technical Skills

AI & Agentic Capabilities

• LLMs & Prompt Engineering: Solid working knowledge of enterprise LLMs (e.g., OpenAI/ChatGPT, Claude, Gemini, Llama) and prompt engineering techniques (chain-of-thought, few-shot prompting, RAG). Must have in depth technical and hands on experience on RAG and Text2SQL usecases, Agentic Platform development, LLM parameter tuning and performance optimizations.
• Agentic Frameworks: Hands-on experience with multi-agent orchestration frameworks (e.g., LangGraph, LangChain, AutoGen, CrewAI, or N8N).
• MCP & Tool Integration: Practical experience implementing and integrating Model Context Protocol (MCP) or custom tool-calling interfaces into agentic systems.
• Machine Learning Foundations: Working knowledge of ML frameworks/libraries (e.g., PyTorch, TensorFlow, Scikit-Learn, Pandas, NumPy).

Architectue:

• Backend Proficiency: Strong hands-on proficiency in Python (e.g., FastAPI, Flask, Django)
• Databases & Data Storage: Experience working with relational and NoSQL databases (e.g., PostgreSQL, Oracle, MongoDB) as well as vector databases.
• API & Architecture: Solid understanding of RESTful/gRPC API design, microservices, event-driven architectures, and distributed systems.
• DevOps & Cloud Native: Hands-on experience with containerization and orchestration tools (Docker, Kubernetes) and CI/CD pipelines (Git, GitLab/Jenkins).

Soft Skills & Industry Background

• Strong analytical and problem-solving skills with a pragmatic approach to technical challenges.
• Good communication and collaboration skills with experience operating in agile engineering teams.
• Experience in banking, financial services, or other highly regulated enterprise environments is a plus.

Experience & Education

• Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related technical field (or equivalent practical experience).
• Software Engineering Experience: 7+ years of progressive software development experience with strong hands-on coding and delivery in production environments.
• AI/ML Specialization: 2+ years of dedicated experience developing and deploying AI/ML, Generative AI, LLM-powered applications, or agentic workflows.
• Proven track record of delivering resilient, high-quality features in an enterprise or production setting.

------------------------------------------------------

Job Family Group:

Technology

------------------------------------------------------

Job Family:

Applications Development

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Most Relevant Skills

Please see the requirements listed above.

------------------------------------------------------

Other Relevant Skills

Java (Programming Language).

------------------------------------------------------

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 (opens in new window).

View Citis EEO Policy Statement (opens in new window) and the Know Your Rights (opens in new window) poster.

Apply (opens in new window)