Senior Gen AI Developer -Vice President

Citi

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$113,840–$170,760 / yr
Posted
4 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $142k
$99k most similar roles pay here $256k

This role pays less than 85% of similar roles. Most pay $157,150–$240,387 — the shaded band above. At the midpoint, this role pays about $142k versus about $199k 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 397 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 367 roles with salary data.

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At a glance

TL;DR · Senior Gen AI Developer -Vice President

As a Senior Generative AI Developer on our Controls Technology team, you will play a pivotal role in designing and implementing advanced generative AI solutions to enhance automation and operational efficiency. Your responsibilities include collaborating with cross-functional teams to develop and fine-tune large language models using techniques like LoRA and QLoRA, as well as experimenting with prompt engineering and Retrieval-Augmented Generation (RAG) systems. You will also support the integration of these models into production environments while ensuring scalability and compliance with ethical AI guidelines. The ideal candidate has hands-on experience with LLMs, model optimization tools such as DeepSpeed and vLLM, and proficiency in Python for data preprocessing and API development. Additionally, familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines is essential. This role requires a strong background in AI/ML, particularly generative models, and experience working with cloud infrastructure like AWS.

What you'll do

  • Design and implement generative AI solutions to address business challenges.
  • Develop and fine-tune large language models using parameter-efficient techniques.
  • Implement advanced generative AI methods like prompt engineering and RAG.
  • Ensure robust deployment and scalability of AI models in production environments.
  • Contribute to the development of real-time and streaming AI solutions.
  • Mentor junior team members and provide code reviews for technical excellence.

What we're looking for

  • Strong hands-on experience with large language models and fine-tuning techniques.
  • Proficiency in prompt engineering, model optimization, and advanced generative AI methods.
  • Experience building RAG systems and working with hybrid search and multi-vector retrieval.
  • Solid skills in NLP, transfer learning, and real-time/streaming AI solutions development.
  • Familiarity with cloud infrastructure (AWS) for AI/ML deployment and CI/CD pipelines.
  • Demonstrated success in delivering AI-driven projects adhering to ethical guidelines.

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