Gen AI-ML Engineer, AVP

Citi

Remote

Quick summary

Work type
Remote
Location
Irving, TX
Salary
$107,120–$160,680 / yr
Posted
7 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $134k
$90k most similar roles pay here $263k

This role pays less than 94% of similar roles. Most pay $167,249–$246,150 — the shaded band above. At the midpoint, this role pays about $134k versus about $207k 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 380 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 354 roles with salary data.

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At a glance

TL;DR · Gen AI-ML Engineer, AVP

As a Gen AI-ML Engineer at the intermediate level within the Technology team, you will design and develop advanced Generative AI solutions for financial applications such as personalized recommendations, risk assessment, fraud detection, and automated reporting. Your day-to-day tasks include implementing intelligent chatbots, processing large datasets of structured and unstructured financial data, architecting efficient RAG pipelines with tools like LlamaIndex and LangChain, and deploying GenAI models in production environments using containerization and CI/CD pipelines on cloud platforms such as AWS, Azure, or GCP. You will need expert Python programming skills along with proficiency in libraries like Transformers, LangChain, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, and LlamaIndex, alongside experience with vector databases and MLOps principles. This role involves working on sophisticated GenAI applications that address complex business challenges in the financial sector at scale.

What you'll do

  • Design and implement GenAI solutions for financial applications like personalized recommendations and risk assessment.
  • Develop intelligent chatbots using advanced AI techniques.
  • Process and analyze large datasets of structured and unstructured financial data.
  • Architect and implement efficient RAG pipelines with tools like LlamaIndex and LangChain.
  • Test, evaluate, and refine the performance of LLMs and other GenAI models.
  • Collaborate with engineering teams to deploy and maintain GenAI models in production environments.
  • Stay updated on advancements in Agentic AI and related GenAI research.

What we're looking for

  • 5+ years of experience in AI/ML development with a focus on GenAI applications.
  • Expert Python programming skills and proficiency with Transformers, LangChain, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, LlamaIndex.
  • Deep understanding of advanced GenAI models like transformers, LLMs (e.g., GPT-4), and RAG pipelines.
  • Experience in prompt engineering, fine-tuning LLMs, and evaluating model performance.
  • Strong software engineering skills including containerization, CI/CD pipelines, and cloud infrastructure management.

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