Generative AI Engineer, AVP

Citi

Remote

Quick summary

Work type
Remote
Location
Jacksonville, Florida
Salary
$96,960–$145,440 / yr
Posted
53 days ago
Nearby
21 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $121k
$79k most similar roles pay here $264k

This role pays less than 99% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $121k versus about $204k 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 391 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 361 roles with salary data.

Most-posted roles

View all roles at Citi

At a glance

TL;DR · Generative AI Engineer, AVP

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The USCC Architecture and AI Engineering group seeks a Generative AI/AI Engineer to join their dynamic team, focusing on cutting-edge solutions in the fast-paced world of generative and agentic AI. This hands-on role involves rapid prototyping, implementing machine learning models, developing robust systems, managing data pipelines, deploying applications using MLOps practices, and collaborating with senior engineers and product managers. The ideal candidate has 5-8 years of experience in product development, proficiency in Python and AI-centric libraries like NumPy and Pandas, expertise in ML/DL frameworks such as PyTorch and TensorFlow, and familiarity with LLMs, LangChain, and Hugging Face ecosystem. They should also be adept at containerization with Docker and deployment on platforms like OpenShift, while continuously researching new technologies to integrate into their stack.

Skills

Python FastAPI Docker Kubernetes OpenShift Pandas NumPy Scikit-learn Hugging Face Transformers LangChain LlamaIndex PostgreSQL pgvector Pinecone Chroma PyTorch TensorFlow Prometheus Grafana MLOps CI/CD

What you'll do

  • Design and build prototypes for Generative and Agentic AI applications.
  • Implement and fine-tune machine learning models to solve complex business problems.
  • Develop scalable code for AI/ML systems with production-level quality.
  • Engineer data handling pipelines for high-quality training and inference data.
  • Deploy AI applications using MLOps best practices in containerized environments.
  • Research and integrate new AI technologies into existing systems through proof-of-concept projects.

What we're looking for

  • 5-8 years of experience in product development or management.
  • Proficient in Python and AI-centric libraries (NumPy, Pandas, Scikit-learn).
  • Experience with machine learning algorithms and deep learning architectures.
  • Hands-on expertise in Generative AI, Large Language Models, and Agentic AI.
  • Expertise in handling large datasets for cleaning, feature engineering, and validation.
  • Familiarity with MLOps principles, including Docker containerization and OpenShift deployment.

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