Gen AI Senior Developer, Vice President

Citi

Quick summary

Work type: On-site
Location: Jacksonville, FL
Salary: $113,840–$170,760 / yr
Posted: 49 days ago
Nearby: 30 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $193k

This role $142k

$100k most similar roles pay here $243k

This role pays less than 84% of similar roles. Most pay $157,000–$229,368 — the shaded band above. At the midpoint, this role pays about $142k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 371 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 347 roles with salary data.

Most-posted roles

View all roles at Citi

At a glance

TL;DR · Gen AI Senior Developer, Vice President

Apply Now Log in to save

The Gen AI Senior Developer role within the Technology team requires a senior-level professional to lead the development and deployment of advanced generative AI systems. This includes hands-on experience with leading large language models (LLMs) such as Google Gemini, OpenAI models, Anthropic Claude, and others, along with expertise in retrieval-augmented generation pipelines and prompt engineering strategies. The candidate will work extensively with Python libraries like Pandas, NumPy, PyTorch, TensorFlow, and FastAPI to build robust AI applications, integrate generative AI into enterprise systems using APIs and vector databases, and deploy models to production environments using MLOps principles and CI/CD tools. Additionally, proficiency in cloud-native technologies such as Kubernetes for container orchestration is essential. This role demands a strong background in machine learning foundations, data engineering, and the ability to solve complex problems independently while collaborating effectively with cross-functional teams.

Skills

Python Pandas NumPy scikit-learn PyTorch TensorFlow Transformers FastAPI Seaborn LangChain LlamaIndex Vertex AI Hugging Face RAG Prompt Engineering Guardrails PG Vector Pinecone Mongo Atlas Neo4j CI/CD Jenkins GitLab CI Azure DevOps ArgoCD Kubernetes OpenShift

What you'll do

Develop and deploy large language models (LLMs) using platforms like Vertex AI and Hugging Face.
Implement advanced Retrieval-Augmented Generation (RAG) pipelines for generative AI applications.
Build robust prompt engineering strategies and reusable templates for LLM-based systems.
Deploy generative AI models to production environments with CI/CD tools like Jenkins and GitLab CI.
Integrate generative AI with enterprise applications using APIs, knowledge graphs, and orchestration tools.
Manage containerized applications in cloud-native environments using Kubernetes or OpenShift.

What we're looking for

Extensive hands-on experience with leading LLMs and RAG pipelines.
Strong programming proficiency in Python with relevant libraries (Pandas, NumPy, PyTorch, TensorFlow).
Expertise in deploying GenAI-based models to production environments using MLOps principles.
Hands-on experience with container orchestration platforms like Kubernetes for cloud-native deployments.
Deep understanding of prompt engineering and agentic framework use cases.
Strong problem-solving abilities and collaboration skills for complex projects.