Lead Generative AI Developer

Citi; New York (NY); On-site; USD 177,000 - 265,000; Full time

Job summary

Citi in New York is seeking a Lead Generative AI Developer to architect, build, and operationalize cutting-edge GenAI and LLM solutions for COO Technology.

You will collaborate with operations leads, data engineers, product managers, and enterprise architects to deliver enterprise-grade AI capabilities at scale, while mentoring peers and upholding governance standards.

Qualifications

• 10+ years of software engineering experience, 2+ years in Generative AI / LLM projects.
• Expert Python with async programming, API development (FastAPI, Flask), and software design patterns.
• Deep hands-on with LangChain, LangGraph, LlamaIndex; Google Cloud AI Platform.
• Experience with RAG architectures, embedding pipelines, and vector search.
• CI/CD, Docker, Kubernetes, Git; data governance and financial services context a plus.

Responsibilities

• Design and implement end-to-end GenAI pipelines and RAG systems.
• Develop Python services and APIs powering AI features across Citi platforms.
• Fine-tune LLMs and embeddings for financial use cases.
• Build ML/GenAI deployment pipelines with modern MLOps practices.
• Lead multi-agent orchestration and governance in collaboration with teams.
• Mentor junior developers and drive GenAI standards across the organization.

Skills

GenAI & LLM development

Python development

LangChain

Cloud platforms

Education

Bachelor's degree or equivalent

Master's degree preferred

Tools

LangChain

LangGraph

LlamaIndex

Google Cloud AI Platform

RAG architectures

Job description

About the Role

We are looking for a Lead Generative AI Developer to join our COO Technology Division in New York. In this high-impact role, you will architect, develop, and operationalize cutting‑edge Generative AI and Large Language Model (LLM) solutions that directly transform how Citi's operational teams work. You will collaborate with cross‑functional stakeholders - including operations leads, data engineers, product managers, and enterprise architects to deliver enterprise‑grade AI capabilities at scale.

This is a hands‑on engineering role for a builder who thrives at the intersection of applied AI research and production software engineering.

Key Responsibilities

• Design & Build GenAI Solutions: Architect and implement end‑to‑end Generative AI pipelines including LLM integrations, Retrieval‑Augmented Generation (RAG) systems, autonomous AI agents, and prompt engineering frameworks.


• Python Development: Develop robust, scalable, and production‑ready Python services and APIs that power AI‑driven features across COO platforms.


• Model Integration & Fine‑tuning: Evaluate, integrate, and fine‑tune LLMs (e.g., GPT-5, Claude, Mistral) and embedding models for domain‑specific financial use cases.


• MLOps & Deployment: Build and maintain ML/GenAI deployment pipelines using modern MLOps practices, ensuring reliability, observability, and governance.


• Agentic Workflows: Design and implement multi‑agent orchestration frameworks (e.g., LangGraph, Google ADK) for complex, multi‑step operational workflows.


• Enterprise AI Governance: Collaborate with Citi's AI Risk and Compliance teams to ensure all AI solutions align with regulatory requirements, responsible AI frameworks, and data privacy standards.


• Data Engineering: Design and optimize data pipelines feeding AI systems, working with vector databases (e.g., Pinecone, Weaviate, pgvector) and enterprise data platforms.


• Technical Leadership: Mentor junior developers, lead code reviews, and contribute to GenAI standards and best practices across the COO Technology organization.


• Stakeholder Collaboration: Translate complex business requirements from COO operations stakeholders into technical AI solutions, providing clear communication of trade‑offs and timelines.

Required Qualifications

• Experience: 10+ years of professional software engineering experience, with at least 2+ years focused on Generative AI / LLM application development.


• Python: Expert‑level Python proficiency — including async programming, API development (FastAPI, Flask), and software design patterns.


• GenAI & LLM Stack:
  
  
  
  • Deep hands‑on experience with LLM frameworks: LangChain, LangGraph, LlamaIndex etc
  
  
  • Hands on experience with Google Cloud AI Platform
  
  
  • Proven experience with RAG architectures, embedding pipelines, and vector search
  
  
  • Strong understanding of prompt engineering, few‑shot learning, and chain‑of‑thought techniques
  
  
  • Experience integrating with LLM APIs: OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, or Google Vertex AI
  
  


• Machine Learning: Solid grounding in ML fundamentals; familiarity with model evaluation, fine‑tuning (LoRA, PEFT), and inference optimization.


• Cloud Platforms: Hands‑on experience with at least one major cloud provider — AWS, Azure, or GCP — particularly managed AI/ML services.


• Data & Databases: Proficiency with SQL, NoSQL, and vector databases (Pinecone, Weaviate, Chroma, pgvector).


• Software Engineering Practices: Strong understanding of CI/CD pipelines, containerization (Docker, Kubernetes), version control (Git), and automated testing.


• Financial Services Acumen (Preferred): Prior experience in banking, fintech, or a regulated industry is a strong plus.

Preferred Qualifications

• Experience with multi‑agent orchestration frameworks (MS AgentFramework, ADK, Strands, LangGraph)


• Familiarity with MLflow, Weights & Biases, or similar experiment tracking and model management tools


• Knowledge of responsible AI practices: bias detection, explainability, hallucination mitigation


• Exposure to Kafka, Spark, or Airflow for data pipeline engineering


• Experience working in an Agile/SAFe delivery environment


• Advanced degree (M.S.) in Computer Science, AI/ML, or a related discipline — or equivalent demonstrated experience

Technical Stack (Working Knowledge Expected)

• Languages: Python (expert), SQL, Bash


• GenAI Frameworks: LangChain, LlamaIndex, LangGraph, Semantic Kernel


• LLM Providers: OpenAI / Azure OpenAI, Anthropic, AWS Bedrock, Google Vertex AI


• Vector Databases: Pinecone, Weaviate, pgvector, Chroma


• Cloud: AWS / Azure / GCP


• MLOps: MLflow, Docker, Kubernetes, GitHub Actions


• Data Engineering: Spark, Airflow, Kafka


• Databases: PostgreSQL, MongoDB, Redis


• Education:
  
  
  
  • Bachelor's degree/University degree or equivalent experience
  
  
  • Master's degree preferred
  
  

Job Family Group

Technology

Job Family

Architecture

Time Type

Full time

Primary Location

New York New York United States

Primary Location Full Time Salary Range

$176,720.00 - $265,080.00

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

Aug 19, 2026

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.

Illinois residents – AI Notice and Right

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.

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