Full-Stack AI Engineer - Vice President

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 Full-Stack AI Engineer is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas. Join our pioneering team and be at the forefront of building the next generation of intelligent, AI-powered products that redefine user experiences and solve complex business challenges. This pivotal role empowers you to own the entire solution stack, from intuitive front-end interfaces to robust back-end infrastructure, and cutting-edge agentic AI systems. You will play a critical role in designing, developing, and deploying high-impact AI-driven solutions, driving engineering excellence, and influencing our software architecture. We're seeking a passionate problem-solver who thrives in a collaborative, agile environment, dedicated to crafting innovative solutions and contributing to Citi’s vibrant technical community.

Key Responsibilities

• Pioneer Full-Stack AI Application Development: Design, develop, and deploy transformative end-to-end applications leveraging modern web frameworks (React, Next.js, FastAPI/Python, Java) with Large Language Models (LLMs) at their core.
• Architect Agentic AI Systems: Lead the design and implementation of sophisticated autonomous agents capable of multi-step reasoning, planning, and dynamic task execution using frameworks like LangChain, LangGraph, or AutoGen.
• Innovate RAG Pipeline Design: Architect and optimize production-grade Retrieval-Augmented Generation (RAG) pipelines, focusing on advanced embedding strategies, efficient vector database management (Pinecone, Milvus, Chroma), and superior retrieval performance.
• Build Scalable Backend & API Integrations: Develop highly performant, asynchronous backend services that seamlessly integrate LLMs, external APIs, and tools, ensuring exceptional reliability and ultra-low latency.
• Optimize Data & Database Management: Strategically manage structured and unstructured data, overseeing both traditional SQL/NoSQL databases and advanced vector databases to enable context-aware and intelligent AI systems.
• Champion Engineering Excellence & Agile Delivery: Drive best practices in code quality, unit testing, CI/CD, and security. Act as a strong contributor within an Agile software delivery team, collaborating to achieve sprint goals and actively participating in the broader Citi technical community and Agile/Scrum processes.
• Communication and Risk Management: Effectively communicate progress, proactively anticipate bottlenecks, provide skilled escalation management, and adeptly identify, assess, track, and mitigate issues and risks across various levels. 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
• Problem Solving and Troubleshooting: Possess the expertise to analyze and effectively troubleshoot complex coding, application performance, and design challenges.
• Root Cause Analysis: Capable of conducting thorough research to identify the root causes of development and performance issues, as well as devising and implementing effective defect resolutions.
• Technical Acumen: Demonstrate a profound understanding of the technical requirements pertinent to the solutions under development.

Required Qualifications

• 6+ years of progressive professional software engineering experience, with a minimum of 2+ years dedicated to building and deploying AI-powered solutions.
• Expert proficiency in Python, Java, or Typescript/Javascript, coupled with a profound understanding of Data Structures and Object-Oriented Principles.
• Extensive hands-on experience with Large Language Models (LLMs) (e.g., OpenAI GPT, Anthropic Claude, Gemini, Llama), including fine-tuning techniques and advanced prompt engineering.
• Proven expertise in designing and implementing RAG architectures, encompassing embedding strategies, vector stores, and semantic search.
• Deep experience with microservices, designing and implementing RESTful/GraphQL APIs, and practical application of containerization technologies (Docker/Kubernetes/Openshift).
• Demonstrated experience with modern web stacks (React, Next.js, Tailwind CSS, JavaScript, TypeScript, etc.).
• Practical experience with Agentic frameworks (LangChain, LangGraph, AutoGen, CrewAI, etc.), including designing, implementing, and orchestrating multi-agent systems.
• Solid understanding and practical application of frameworks such as Spring Boot, FastAPI, Express, etc.
• Significant experience working within agile and iterative software delivery methodologies (SAFe, SCRUM, Kanban).
• Proficiency in various database technologies, including advanced SQL and vector databases (Oracle, PostgreSQL, MongoDB, Aurora, Pinecone, pgvector, etc.).
• Experience with event-driven design and architecture (e.g., SQS, SNS, Kinesis, Kafka, Spark Flink, RabbitMQ).

Preferred Qualifications

• Experience in designing and implementing complex multi-agent collaboration architectures.
• Familiarity with AI-driven development tools (e.g., Cursor, Claude, Copilot) to enhance productivity.
• Proven architectural experience in building horizontally scalable, highly available, highly resilient, and low-latency applications.
• Experience with both on-premise and public cloud infrastructure (e.g., OpenShift, AWS), including Infrastructure as Code tools (e.g., Terraform, CloudFormation).
• Knowledge of Security, Observability, and Monitoring tools (e.g., Grafana, Prometheus, Splunk, ELK, CloudWatch).
• Prior experience mentoring and providing technical leadership to teams of 5 or more developers.
• Familiarity with Job Schedulers (e.g., Apache Workflow, Autosys, CloudWatch).

Education:

• A bachelor’s degree in computer science, Software Engineering, or a related field is required.

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Job Family Group:

Technology

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Job Family:

Digital Software Engineering

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Time Type:

Full time

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Primary Location:

Tampa Florida United States

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Primary Location Full Time Salary Range:

$125,600.00 - $188,400.00

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.

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date:

Mar 23, 2026

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