Senior Gen AI Developer - Vice President

Citi

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$125,760–$188,640 / yr
Posted
97 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $157k
$112k most similar roles pay here $254k

This role pays less than 70% of similar roles. Most pay $157,000–$240,387 — the shaded band above. At the midpoint, this role pays about $157k 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 391 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 361 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 platform team, you will play a pivotal role in designing and implementing advanced generative AI solutions to enhance automation and operational efficiency. Your daily 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 robust deployment and compliance with ethical AI guidelines. The ideal candidate has hands-on experience with LLMs, model optimization tools like 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 such as 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 understanding of NLP tasks, transfer learning, and responsible AI practices.
  • Expertise in containerization, orchestration, CI/CD pipelines for ML models, and cloud infrastructure.
  • Demonstrated ability to collaborate effectively in cross-functional teams and mentor junior developers.

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